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Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1147
Consistent Structural Relation Learning for Zero-Shot Segmentation
In Poster Session 5
Peike Li · Yunchao Wei · Yi Yang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1148
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
In Poster Session 5
DONGXU LI · Chenchen Xu · Xin Yu · Kaihao Zhang · Benjamin Swift · Hanna Suominen · Hongdong Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1149
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
In Poster Session 5
Hao Zhu · Chaoyou Fu · Qianyi Wu · Wayne Wu · Chen Qian · Ran He
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1150
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
In Poster Session 5
Chu Zhou · Hang Zhao · Jin Han · Chang Xu · Chao Xu · Tiejun Huang · Boxin Shi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1151
Group Contextual Encoding for 3D Point Clouds
In Poster Session 5
Xu Liu · Chengtao Li · Jian Wang · Jingbo Wang · Boxin Shi · Xiaodong He
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1152
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
In Poster Session 5
Xiang Li · Wenhai Wang · Lijun Wu · Shuo Chen · Xiaolin Hu · Jun Li · Jinhui Tang · Jian Yang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1153
Dual-Resolution Correspondence Networks
In Poster Session 5
Xinghui Li · Kai Han · Shuda Li · Victor Prisacariu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1154
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
In Poster Session 5
Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1155
Modeling Noisy Annotations for Crowd Counting
In Poster Session 5
Jia Wan · Antoni Chan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1156
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
In Poster Session 5
Fan Lu · Guang Chen · Yinlong Liu · Zhongnan Qu · Alois Knoll
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1157
Distribution Matching for Crowd Counting
In Poster Session 5
Boyu Wang · Huidong Liu · Dimitris Samaras · Minh Hoai Nguyen
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1158
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation
In Poster Session 5
Ping Hu · Stan Sclaroff · Kate Saenko
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1159
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization
In Poster Session 5
Qi Chen · Lin Sun · Ernest Cheung · Alan Yuille
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1160
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
In Poster Session 5
Cheng Chi · Fangyun Wei · Han Hu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1161
Structured Convolutions for Efficient Neural Network Design
In Poster Session 5
Yash Bhalgat · Yizhe Zhang · Jamie Menjay Lin · Fatih Porikli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1162
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding
In Poster Session 5
Lin Lan · Pinghui Wang · Xuefeng Du · Kaikai Song · Jing Tao · Xiaohong Guan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1164
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
In Poster Session 5
Sourav Biswas · Jerry Liu · Kelvin Wong · Shenlong Wang · Raquel Urtasun
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1165
Ultrahyperbolic Representation Learning
In Poster Session 5
Marc Law · Jos Stam
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1166
Reparameterizing Mirror Descent as Gradient Descent
In Poster Session 5
Ehsan Amid · Manfred K. Warmuth
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1167
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
In Poster Session 5
Jinheon Baek · Dong Bok Lee · Sung Ju Hwang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1168
Handling Missing Data with Graph Representation Learning
In Poster Session 5
Jiaxuan You · Xiaobai Ma · Yi Ding · Mykel J Kochenderfer · Jure Leskovec
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1169
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion
In Poster Session 5
Zhanqiu Zhang · Jianyu Cai · Jie Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1170
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
In Poster Session 5
Defu Cao · Yujing Wang · Juanyong Duan · Ce Zhang · Xia Zhu · Congrui Huang · Yunhai Tong · Bixiong Xu · Jing Bai · Jie Tong · Qi Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1171
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network
In Poster Session 5
Lifeng Shen · Zhuocong Li · James Kwok
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1172
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
In Poster Session 5
Jeya Vikranth Jeyakumar · Joseph Noor · Yu-Hsi Cheng · Luis Garcia · Mani Srivastava
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1173
PEP: Parameter Ensembling by Perturbation
In Poster Session 5
Alireza Mehrtash · Purang Abolmaesumi · Polina Golland · Tina Kapur · Demian Wassermann · William Wells
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1174
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
In Poster Session 5
Lijing Wang · Dipanjan Ghosh · Maria Gonzalez Diaz · Ahmed Farahat · Mahbubul Alam · Chetan Gupta · Jiangzhuo Chen · Madhav Marathe
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1175
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
In Poster Session 5
Jinseok Kim · Kyungsu Kim · Jae-Joon Kim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1176
Dirichlet Graph Variational Autoencoder
In Poster Session 5
Jia Li · Jianwei Yu · Jiajin Li · Honglei Zhang · Kangfei Zhao · Yu Rong · Hong Cheng · Junzhou Huang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1177
Gradient Boosted Normalizing Flows
In Poster Session 5
Robert Giaquinto · Arindam Banerjee
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1178
Improved Guarantees for k-means++ and k-means++ Parallel
In Poster Session 5
Konstantin Makarychev · Aravind Reddy · Liren Shan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1179
Estimation of Skill Distribution from a Tournament
In Poster Session 5
Ali Jadbabaie · Anuran Makur · Devavrat Shah
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1180
Transfer Learning via $\ell_1$ Regularization
In Poster Session 5
Masaaki Takada · Hironori Fujisawa
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1181
Robust Meta-learning for Mixed Linear Regression with Small Batches
In Poster Session 5
Weihao Kong · Raghav Somani · Sham Kakade · Sewoong Oh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1182
Efficient Projection-free Algorithms for Saddle Point Problems
In Poster Session 5
Cheng Chen · Luo Luo · Weinan Zhang · Yong Yu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1183
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
In Poster Session 5
Jiawei Zhang · Peijun Xiao · Ruoyu Sun · Zhiquan Luo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1184
A Fair Classifier Using Kernel Density Estimation
In Poster Session 5
Jaewoong Cho · Gyeongjo Hwang · Changho Suh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1185
List-Decodable Mean Estimation via Iterative Multi-Filtering
In Poster Session 5
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1186
On Learning Ising Models under Huber's Contamination Model
In Poster Session 5
Adarsh Prasad · Vishwak Srinivasan · Sivaraman Balakrishnan · Pradeep Ravikumar
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1187
Worst-Case Analysis for Randomly Collected Data
In Poster Session 5
Justin Chen · Gregory Valiant · Paul Valiant
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1188
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate
In Poster Session 5
Akifumi Okuno · Hidetoshi Shimodaira
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1189
A General Method for Robust Learning from Batches
In Poster Session 5
Ayush Jain · Alon Orlitsky
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1191
Optimal Prediction of the Number of Unseen Species with Multiplicity
In Poster Session 5
Yi Hao · Ping Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1192
Probabilistic Active Meta-Learning
In Poster Session 5
Jean Kaddour · Steindor Saemundsson · Marc Deisenroth
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1193
Meta-Consolidation for Continual Learning
In Poster Session 5
Joseph K J · Vineeth N Balasubramanian
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1194
Understanding the Role of Training Regimes in Continual Learning
In Poster Session 5
Seyed Iman Mirzadeh · Mehrdad Farajtabar · Razvan Pascanu · Hassan Ghasemzadeh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1195
Supermasks in Superposition
In Poster Session 5
Mitchell Wortsman · Vivek Ramanujan · Rosanne Liu · Aniruddha Kembhavi · Mohammad Rastegari · Jason Yosinski · Ali Farhadi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1196
Improved Schemes for Episodic Memory-based Lifelong Learning
In Poster Session 5
Yunhui Guo · Mingrui Liu · Tianbao Yang · Tajana S Rosing
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1197
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
In Poster Session 5
Sangwon Jung · Hongjoon Ahn · Sungmin Cha · Taesup Moon
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1198
GAN Memory with No Forgetting
In Poster Session 5
Yulai Cong · Miaoyun Zhao · Jianqiao Li · Sijia Wang · Lawrence Carin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1199
Meta-Learning with Adaptive Hyperparameters
In Poster Session 5
Sungyong Baik · Myungsub Choi · Janghoon Choi · Heewon Kim · Kyoung Mu Lee
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1200
Online Structured Meta-learning
In Poster Session 5
Huaxiu Yao · Yingbo Zhou · Mehrdad Mahdavi · Zhenhui (Jessie) Li · Richard Socher · Caiming Xiong
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1201
Modeling and Optimization Trade-off in Meta-learning
In Poster Session 5
Katelyn Gao · Ozan Sener
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1202
Structured Prediction for Conditional Meta-Learning
In Poster Session 5
Ruohan Wang · Yiannis Demiris · Carlo Ciliberto
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1203
Meta-learning from Tasks with Heterogeneous Attribute Spaces
In Poster Session 5
Tomoharu Iwata · Atsutoshi Kumagai
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1204
Gradient-EM Bayesian Meta-Learning
In Poster Session 5
Yayi Zou · Xiaoqi Lu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1205
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning
In Poster Session 5
Xiaohan Chen · Zhangyang Wang · Siyu Tang · Krikamol Muandet
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1206
Neural Complexity Measures
In Poster Session 5
Yoonho Lee · Juho Lee · Sung Ju Hwang · Eunho Yang · Seungjin Choi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1207
Modular Meta-Learning with Shrinkage
In Poster Session 5
Yutian Chen · Abram Friesen · Feryal Behbahani · Arnaud Doucet · David Budden · Matthew Hoffman · Nando de Freitas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1208
Gradient Surgery for Multi-Task Learning
In Poster Session 5
Tianhe Yu · Saurabh Kumar · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1209
Organizing recurrent network dynamics by task-computation to enable continual learning
In Poster Session 5
Lea Duncker · Laura N Driscoll · Krishna V Shenoy · Maneesh Sahani · David Sussillo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1210
Finding the Homology of Decision Boundaries with Active Learning
In Poster Session 5
Weizhi Li · Gautam Dasarathy · Karthikeyan Natesan Ramamurthy · Visar Berisha
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1211
Exemplar Guided Active Learning
In Poster Session 5
Jason Hartford · Kevin Leyton-Brown · Hadas Raviv · Dan Padnos · Shahar Lev · Barak Lenz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1212
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification
In Poster Session 5
Taewon Jeong · Heeyoung Kim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1213
An Unbiased Risk Estimator for Learning with Augmented Classes
In Poster Session 5
Yu-Jie Zhang · Peng Zhao · Lanjihong Ma · Zhi-Hua Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1214
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization
In Poster Session 5
Wei Wang · Min-Ling Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1215
Rethinking Importance Weighting for Deep Learning under Distribution Shift
In Poster Session 5
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1216
Robust Correction of Sampling Bias using Cumulative Distribution Functions
In Poster Session 5
Bijan Mazaheri · Siddharth Jain · Jehoshua Bruck
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1217
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift
In Poster Session 5
Zayd Hammoudeh · Daniel Lowd
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1218
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
In Poster Session 5
Kihyuk Sohn · David Berthelot · Nicholas Carlini · Zizhao Zhang · Han Zhang · Colin A Raffel · Ekin Dogus Cubuk · Alexey Kurakin · Chun-Liang Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1219
A Variational Approach for Learning from Positive and Unlabeled Data
In Poster Session 5
Hui Chen · Fangqing Liu · Yin Wang · Liyue Zhao · Hao Wu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1220
HRN: A Holistic Approach to One Class Learning
In Poster Session 5
Wenpeng Hu · Mengyu Wang · Qi Qin · Jinwen Ma · Bing Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1221
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
In Poster Session 5
Yuzhe Yang · Zhi Xu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1222
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
In Poster Session 5
Alexei Baevski · Yuhao Zhou · Abdelrahman Mohamed · Michael Auli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1223
Learning from Aggregate Observations
In Poster Session 5
Yivan Zhang · Nontawat Charoenphakdee · Zhenguo Wu · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1224
Self-training Avoids Using Spurious Features Under Domain Shift
In Poster Session 5
Yining Chen · Colin Wei · Ananya Kumar · Tengyu Ma
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1225
Learning Physical Constraints with Neural Projections
In Poster Session 5
Shuqi Yang · Xingzhe He · Bo Zhu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1226
Time-Reversal Symmetric ODE Network
In Poster Session 5
In Huh · Eunho Yang · Sung Ju Hwang · Jinwoo Shin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1227
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
In Poster Session 5
Silviu-Marian Udrescu · Andrew Tan · Jiahai Feng · Orisvaldo Neto · Tailin Wu · Max Tegmark
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1228
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
In Poster Session 5
Jing Xu · Fangwei Zhong · Yizhou Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1229
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
In Poster Session 5
Bharat Lal Bhatnagar · Cristian Sminchisescu · Christian Theobalt · Gerard Pons-Moll
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1230
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
In Poster Session 5
Govinda Kamath · Tavor Baharav · Ilan Shomorony
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1231
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics
In Poster Session 5
Alex Tseng · Avanti Shrikumar · Anshul Kundaje
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1232
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen
In Poster Session 5
Amin Parvaneh · Ehsan Abbasnejad · Damien Teney · Javen Qinfeng Shi · Anton van den Hengel
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1233
Neural FFTs for Universal Texture Image Synthesis
In Poster Session 5
Morteza Mardani · Guilin Liu · Aysegul Dundar · Shiqiu Liu · Andrew Tao · Bryan Catanzaro
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1234
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching
In Poster Session 5
Zeping Yu · Wenxin Zheng · Jiaqi Wang · Qiyi Tang · Sen Nie · Shi Wu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1235
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
In Poster Session 5
Kavi Gupta · Peter Ebert Christensen · Xinyun Chen · Dawn Song
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1236
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
In Poster Session 5
Jiachen Li · Fan Yang · Masayoshi Tomizuka · Chiho Choi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1237
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
In Poster Session 5
LEI BAI · Lina Yao · Can Li · Xianzhi Wang · Can Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1238
JAX MD: A Framework for Differentiable Physics
In Poster Session 5
Samuel Schoenholz · Ekin Dogus Cubuk
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1239
Multi-agent Trajectory Prediction with Fuzzy Query Attention
In Poster Session 5
Nitin Kamra · Hao Zhu · Dweep Trivedi · Ming Zhang · Yan Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1240
Learning Agent Representations for Ice Hockey
In Poster Session 5
Guiliang Liu · Oliver Schulte · Pascal Poupart · Mike Rudd · Mehrsan Javan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1241
Correlation Robust Influence Maximization
In Poster Session 5
Louis Chen · Divya Padmanabhan · Chee Chin Lim · Karthik Natarajan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1242
On Adaptive Distance Estimation
In Poster Session 5
Yeshwanth Cherapanamjeri · Jelani Nelson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1243
Recovery of sparse linear classifiers from mixture of responses
In Poster Session 5
Venkata Gandikota · Arya Mazumdar · Soumyabrata Pal
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1244
Robustness of Community Detection to Random Geometric Perturbations
In Poster Session 5
Sandrine Peche · Vianney Perchet
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1245
Entrywise convergence of iterative methods for eigenproblems
In Poster Session 5
Vasileios Charisopoulos · Austin Benson · Anil Damle
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1246
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform
In Poster Session 5
Jonathan Lacotte · Sifan Liu · Edgar Dobriban · Mert Pilanci
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1247
Beyond Lazy Training for Over-parameterized Tensor Decomposition
In Poster Session 5
Xiang Wang · Chenwei Wu · Jason Lee · Tengyu Ma · Rong Ge
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1248
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
In Poster Session 5
Jingqiu Ding · Samuel Hopkins · David Steurer
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1249
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
In Poster Session 5
Michal Derezinski · Rajiv Khanna · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1250
Precise expressions for random projections: Low-rank approximation and randomized Newton
In Poster Session 5
Michal Derezinski · Feynman Liang · Zhenyu Liao · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1252
Matrix Completion with Hierarchical Graph Side Information
In Poster Session 5
Adel Elmahdy · Junhyung Ahn · Changho Suh · Soheil Mohajer
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1254
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
In Poster Session 5
Jiezhong Qiu · Chi Wang · Ben Liao · Richard Peng · Jie Tang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1255
Fairness constraints can help exact inference in structured prediction
In Poster Session 5
Kevin Bello · Jean Honorio
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1256
Exact expressions for double descent and implicit regularization via surrogate random design
In Poster Session 5
Michal Derezinski · Feynman Liang · Michael Mahoney
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1257
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm
In Poster Session 5
Yi Hao · Ayush Jain · Alon Orlitsky · Vaishakh Ravindrakumar
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1258
Uncertainty Aware Semi-Supervised Learning on Graph Data
In Poster Session 5
Xujiang Zhao · Feng Chen · Shu Hu · Jin-Hee Cho
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1259
Calibrated Reliable Regression using Maximum Mean Discrepancy
In Poster Session 5
Peng Cui · Wenbo Hu · Jun Zhu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1260
Energy-based Out-of-distribution Detection
In Poster Session 5
Weitang Liu · Xiaoyun Wang · John Owens · Yixuan Li
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1261
Neural Manifold Ordinary Differential Equations
In Poster Session 5
Aaron Lou · Derek Lim · Isay Katsman · Leo Huang · Qingxuan Jiang · Ser Nam Lim · Christopher De Sa
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1262
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
In Poster Session 5
Sang-gil Lee · Sungwon Kim · Sungroh Yoon
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1263
Adaptation Properties Allow Identification of Optimized Neural Codes
In Poster Session 5
Luke Rast · Jan Drugowitsch
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1264
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice
In Poster Session 5
Rylan Schaeffer · Mikail Khona · Leenoy Meshulam · Brain Laboratory International · Ila Fiete
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1265
Learning to search efficiently for causally near-optimal treatments
In Poster Session 5
Samuel Håkansson · Viktor Lindblom · Omer Gottesman · Fredrik Johansson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1266
General Control Functions for Causal Effect Estimation from IVs
In Poster Session 5
Aahlad Puli · Rajesh Ranganath
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1267
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe
In Poster Session 5
Sanghack Lee · Elias Bareinboim
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1268
Active Structure Learning of Causal DAGs via Directed Clique Trees
In Poster Session 5
Chandler Squires · Sara Magliacane · Kristjan Greenewald · Dmitriy Katz · Murat Kocaoglu · Karthikeyan Shanmugam
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1269
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
In Poster Session 5
Peter W Glynn · Ramesh Johari · Mohammad Rasouli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1270
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network
In Poster Session 5
Chaojie Wang · Hao Zhang · Bo Chen · Dongsheng Wang · Zhengjue Wang · Mingyuan Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1271
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method
In Poster Session 5
Qi Zhou · Yufei Kuang · Zherui Qiu · Houqiang Li · Jie Wang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1272
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
In Poster Session 5
Tom Yan · Christian Kroer · Alexander Peysakhovich
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1273
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
In Poster Session 5
Arnab Bhattacharyya · Sutanu Gayen · Kuldeep S Meel · N. V. Vinodchandran
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1274
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
In Poster Session 5
Mohsen Bayati · Nima Hamidi · Ramesh Johari · Khashayar Khosravi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1275
Batched Coarse Ranking in Multi-Armed Bandits
In Poster Session 5
Nikolai Karpov · Qin Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1276
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
In Poster Session 5
Kyungjae Lee · Hongjun Yang · Sungbin Lim · Songhwai Oh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1277
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
In Poster Session 5
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1278
Stage-wise Conservative Linear Bandits
In Poster Session 5
Ahmadreza Moradipari · Christos Thrampoulidis · Mahnoosh Alizadeh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1279
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring
In Poster Session 5
Taira Tsuchiya · Junya Honda · Masashi Sugiyama
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1280
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
In Poster Session 5
Shinji Ito · Shuichi Hirahara · Tasuku Soma · Yuichi Yoshida
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1281
Delay and Cooperation in Nonstochastic Linear Bandits
In Poster Session 5
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1282
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits
In Poster Session 5
Julian Katz-Samuels · Lalit Jain · zohar karnin · Kevin Jamieson
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1283
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
In Poster Session 5
Tiancheng Jin · Haipeng Luo
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1284
Dynamic Regret of Convex and Smooth Functions
In Poster Session 5
Peng Zhao · Yu-Jie Zhang · Lijun Zhang · Zhi-Hua Zhou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1285
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
In Poster Session 5
Lin Chen · Qian Yu · Hannah Lawrence · Amin Karbasi
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1286
Online learning with dynamics: A minimax perspective
In Poster Session 5
Kush Bhatia · Karthik Sridharan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1287
A Tight Lower Bound and Efficient Reduction for Swap Regret
In Poster Session 5
Shinji Ito
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1288
Making Non-Stochastic Control (Almost) as Easy as Stochastic
In Poster Session 5
Max Simchowitz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1289
Non-Stochastic Control with Bandit Feedback
In Poster Session 5
Paula Gradu · John Hallman · Elad Hazan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1290
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
In Poster Session 5
Feng Liu · Xiaoming Liu
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1291
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
In Poster Session 5
Yi Zhou · Chenglei Wu · Zimo Li · Chen Cao · Yuting Ye · Jason Saragih · Hao Li · Yaser Sheikh
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1292
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction
In Poster Session 5
Tong He · John Collomosse · Hailin Jin · Stefano Soatto
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1293
Generative 3D Part Assembly via Dynamic Graph Learning
In Poster Session 5
jialei huang · Guanqi Zhan · Qingnan Fan · Kaichun Mo · Lin Shao · Baoquan Chen · Leonidas Guibas · Hao Dong
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1294
Online Adaptation for Consistent Mesh Reconstruction in the Wild
In Poster Session 5
Xueting Li · Sifei Liu · Shalini De Mello · Kihwan Kim · Xiaolong Wang · Ming-Hsuan Yang · Jan Kautz
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1295
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
In Poster Session 5
Jun Gao · Wenzheng Chen · Tommy Xiang · Alec Jacobson · Morgan McGuire · Sanja Fidler
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1296
Weakly Supervised Deep Functional Maps for Shape Matching
In Poster Session 5
Abhishek Sharma · Maks Ovsjanikov
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1297
Neural Star Domain as Primitive Representation
In Poster Session 5
Yuki Kawana · Yusuke Mukuta · Tatsuya Harada
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1298
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian
In Poster Session 5
Yunpeng Shi · Shaohan Li · Gilad Lerman
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1299
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
In Poster Session 5
Chaozheng Wu · Jian Chen · Qiaoyu Cao · Jianchi Zhang · Yunxin Tai · Lin Sun · Kui Jia
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1300
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
In Poster Session 5
Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1301
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
In Poster Session 5
Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1302
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
In Poster Session 5
Kunal Gupta · Manmohan Chandraker
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1303
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
In Poster Session 5
Katherine L. Hermann · Ting Chen · Simon Kornblith
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1304
Texture Interpolation for Probing Visual Perception
In Poster Session 5
Jonathan Vacher · Aida Davila · Adam Kohn · Ruben Coen-Cagli
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1305
Byzantine Resilient Distributed Multi-Task Learning
In Poster Session 5
Jiani Li · Waseem Abbas · Xenofon Koutsoukos
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1306
FrugalML: How to use ML Prediction APIs more accurately and cheaply
In Poster Session 5
Lingjiao Chen · Matei Zaharia · James Zou
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1307
Improving Auto-Augment via Augmentation-Wise Weight Sharing
In Poster Session 5
Keyu Tian · Chen Lin · Ming Sun · Luping Zhou · Junjie Yan · Wanli Ouyang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1308
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
In Poster Session 5
Yibo Yang · Hongyang Li · Shan You · Fei Wang · Chen Qian · Zhouchen Lin
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1309
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
In Poster Session 5
Ekin Dogus Cubuk · Barret Zoph · Jonathon Shlens · Quoc V Le
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1310
Meta-Neighborhoods
In Poster Session 5
Siyuan Shan · Yang Li · Junier Oliva
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1311
A Closer Look at the Training Strategy for Modern Meta-Learning
In Poster Session 5
JIAXIN CHEN · Xiao-Ming Wu · Yanke Li · Qimai LI · Li-Ming Zhan · Fu-lai Chung
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1312
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
In Poster Session 5
Ximei Wang · Mingsheng Long · Jianmin Wang · Michael Jordan
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1313
Unsupervised Learning of Object Landmarks via Self-Training Correspondence
In Poster Session 5
Dimitrios Mallis · Enrique Sanchez · Matthew Bell · Georgios Tzimiropoulos
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1314
Autofocused oracles for model-based design
In Poster Session 5
Clara Fannjiang · Jennifer Listgarten
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1315
Hierarchical Neural Architecture Search for Deep Stereo Matching
In Poster Session 5
Xuelian Cheng · Yiran Zhong · Mehrtash Harandi · Yuchao Dai · Xiaojun Chang · Hongdong Li · Tom Drummond · Zongyuan Ge
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1316
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
In Poster Session 5
Yunhang Shen · Rongrong Ji · Zhiwei Chen · Yongjian Wu · Feiyue Huang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1317
Hierarchical Granularity Transfer Learning
In Poster Session 5
Shaobo Min · Hongtao Xie · Hantao Yao · Xuran Deng · Zheng-Jun Zha · Yongdong Zhang
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1318
PyGlove: Symbolic Programming for Automated Machine Learning
In Poster Session 5
Daiyi Peng · Xuanyi Dong · Esteban Real · Mingxing Tan · Yifeng Lu · Gabriel Bender · Hanxiao Liu · Adam Kraft · Chen Liang · Quoc V Le
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1319
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
In Poster Session 5
Rasool Fakoor · Jonas Mueller · Nick Erickson · Pratik Chaudhari · Alexander Smola
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1321
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
In Poster Session 5
Oindrila Saha · Aditya Kusupati · Harsha Vardhan Simhadri · Manik Varma · Prateek Jain
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1322
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
In Poster Session 5
Han Cai · Chuang Gan · Ligeng Zhu · Song Han
[ Paper ]
Poster
Wed Dec 09 09:00 PM -- 11:00 PM (PST) @ Poster Session 4 #1723
Distributed Distillation for On-Device Learning
In Poster Session 5
Ilai Bistritz · Ariana Mann · Nicholas Bambos
[ Paper ]