- [ 64766 ] Transfer Learning in Information Criteria-based Feature Selection
- [ 64768 ] tntorch: Tensor Network Learning with PyTorch
- [ 64769 ] InterpretDL: Explaining Deep Models in PaddlePaddle
- [ 64774 ] [Re] Value Alignment Verification
Q&A on RocketChat immediately following Lightning Talks
- [ 64787 ] OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
- [ 64788 ] Predictive Coding beyond Gaussian Distributions
- [ 64790 ] What Makes Graph Neural Networks Miscalibrated?
- [ 64791 ] NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification
- [ 64792 ] Redundancy-Free Message Passing for Graph Neural Networks
- [ 64794 ] EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
- [ 64796 ] Probing Classifiers are Unreliable for Concept Removal and Detection
Q&A on RocketChat immediately following Lightning Talks
- [ 64777 ] [Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
- [ 64780 ] [Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction
Q&A on RocketChat immediately following Lightning Talks
- [ 64803 ] Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
- [ 64804 ] Non-Gaussian Tensor Programs
- [ 64808 ] Chromatic Correlation Clustering, Revisited
Q&A on RocketChat immediately following Lightning Talks
- [ 64834 ] Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
- [ 64835 ] Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization
- [ 64836 ] An Investigation into Whitening Loss for Self-supervised Learning
- [ 64837 ] Task-Free Continual Learning via Online Discrepancy Distance Learning
- [ 64838 ] Efficient Knowledge Distillation from Model Checkpoints
- [ 64839 ] Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
- [ 64841 ] Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Q&A on RocketChat immediately following Lightning Talks
- [ 64809 ] Active Bayesian Causal Inference
- [ 64810 ] Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
- [ 64811 ] Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
- [ 64812 ] Provable Benefit of Multitask Representation Learning in Reinforcement Learning
- [ 64813 ] Self-Supervised Learning via Maximum Entropy Coding
- [ 64816 ] Counterfactual Temporal Point Processes
- [ 64817 ] Provable Subspace Identification Under Post-Nonlinear Mixtures
- [ 64818 ] VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
- [ 64819 ] Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Q&A on RocketChat immediately following Lightning Talks
- [ 64820 ] CoPur: Certifiably Robust Collaborative Inference via Feature Purification
- [ 64821 ] Data Augmentation MCMC for Bayesian Inference from Privatized Data
- [ 64822 ] Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
- [ 64824 ] On the Learning Mechanisms in Physical Reasoning
- [ 64825 ] Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
- [ 64827 ] GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
- [ 64828 ] Conformal Off-Policy Prediction in Contextual Bandits
- [ 64830 ] A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning
Q&A on RocketChat immediately following Lightning Talks
- [ 64842 ] Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
- [ 64843 ] Improved Fine-Tuning by Better Leveraging Pre-Training Data
- [ 64845 ] Task Discovery: Finding the Tasks that Neural Networks Generalize on
- [ 64846 ] Coresets for Relational Data and The Applications
- [ 64847 ] Teacher Forcing Recovers Reward Functions for Text Generation
- [ 64849 ] UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator
- [ 64850 ] Gradient Estimation with Discrete Stein Operators
- [ 64851 ] Detecting Abrupt Changes in Sequential Pairwise Comparison Data
- [ 64852 ] Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Q&A on RocketChat immediately following Lightning Talks
- [ 64876 ] Cross Aggregation Transformer for Image Restoration
- [ 64877 ] BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
- [ 64878 ] Inception Transformer
- [ 64879 ] GhostNetV2: Enhance Cheap Operation with Long-Range Attention
- [ 64880 ] MCMAE: Masked Convolution Meets Masked Autoencoders
- [ 64881 ] Deep Fourier Up-Sampling
- [ 64883 ] SKFlow: Learning Optical Flow with Super Kernels
- [ 64885 ] RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Q&A on RocketChat immediately following Lightning Talks
- [ 64853 ] Benefits of Additive Noise in Composing Classes with Bounded Capacity
- [ 64857 ] Posterior Matching for Arbitrary Conditioning
- [ 64858 ] "Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
- [ 64859 ] Lipschitz Bandits with Batched Feedback
- [ 64860 ] Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion
- [ 64861 ] Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
- [ 64862 ] Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
- [ 64863 ] Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Q&A on RocketChat immediately following Lightning Talks
- [ 64865 ] Robust Learning against Relational Adversaries
- [ 64867 ] SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training
- [ 64869 ] Trustworthy Monte Carlo
- [ 64870 ] Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
- [ 64871 ] Can Adversarial Training Be Manipulated By Non-Robust Features?
- [ 64873 ] Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
Q&A on RocketChat immediately following Lightning Talks
- [ 64887 ] ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition
- [ 64888 ] GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
- [ 64890 ] One Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration
- [ 64891 ] Log-Polar Space Convolution Layers
- [ 64892 ] Streaming Radiance Fields for 3D Video Synthesis
- [ 64893 ] Flexible Neural Image Compression via Code Editing
- [ 64894 ] AutoST: Towards the Universal Modeling of Spatio-temporal Sequences
Q&A on RocketChat immediately following Lightning Talks
- [ 64897 ] Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
- [ 64899 ] NeMF: Neural Motion Fields for Kinematic Animation
- [ 64901 ] Brain Network Transformer
- [ 64902 ] Distilling Representations from GAN Generator via Squeeze and Span
- [ 64904 ] Graph Neural Networks with Adaptive Readouts
- [ 64906 ] Could Giant Pre-trained Image Models Extract Universal Representations?
- [ 64907 ] On the relationship between variational inference and auto-associative memory
Q&A on RocketChat immediately following Lightning Talks
- [ 64921 ] Understanding Square Loss in Training Overparametrized Neural Network Classifiers
- [ 64922 ] UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
- [ 64923 ] LOG: Active Model Adaptation for Label-Efficient OOD Generalization
- [ 64927 ] MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
- [ 64929 ] Distributionally Robust Optimization with Data Geometry
Q&A on RocketChat immediately following Lightning Talks
- [ 64908 ] Diagonal State Spaces are as Effective as Structured State Spaces
- [ 64911 ] You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
- [ 64913 ] Wasserstein Iterative Networks for Barycenter Estimation
- [ 64914 ] Neural Approximation of Graph Topological Features
- [ 64915 ] Regularized Molecular Conformation Fields
- [ 64916 ] Is a Modular Architecture Enough?
- [ 64917 ] Knowledge-Aware Bayesian Deep Topic Model
- [ 64918 ] Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Q&A on RocketChat immediately following Lightning Talks
- [ 64932 ] Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
- [ 64933 ] Estimating graphical models for count data with applications to single-cell gene network
- [ 64934 ] Concentration of Data Encoding in Parameterized Quantum Circuits
- [ 64935 ] On Learning Fairness and Accuracy on Multiple Subgroups
- [ 64936 ] Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
- [ 64938 ] Doubly Robust Counterfactual Classification
- [ 64939 ] Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders
Q&A on RocketChat immediately following Lightning Talks
- [ 64963 ] Conditional Meta-Learning of Linear Representations
- [ 64965 ] Supervising the Multi-Fidelity Race of Hyperparameter Configurations
- [ 64966 ] Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
- [ 64968 ] Deep Combinatorial Aggregation
- [ 64969 ] When to Update Your Model: Constrained Model-based Reinforcement Learning
- [ 64970 ] HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
- [ 64972 ] Multi-Sample Training for Neural Image Compression
Q&A on RocketChat immediately following Lightning Talks
- [ 64941 ] Collaborative Learning by Detecting Collaboration Partners
- [ 64942 ] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
- [ 64944 ] Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class
- [ 64946 ] LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
- [ 64947 ] Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
- [ 64949 ] Unified Optimal Transport Framework for Universal Domain Adaptation
- [ 64951 ] Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
Q&A on RocketChat immediately following Lightning Talks
- [ 64952 ] Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
- [ 64953 ] Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning
- [ 64954 ] A2: Efficient Automated Attacker for Boosting Adversarial Training
- [ 64955 ] Versatile Multi-stage Graph Neural Network for Circuit Representation
- [ 64956 ] Product Ranking for Revenue Maximization with Multiple Purchases
- [ 64957 ] Robust Semi-Supervised Learning when Not All Classes have Labels
- [ 64958 ] Meta-Complementing the Semantics of Short Texts in Neural Topic Models
- [ 64959 ] Byzantine-tolerant federated Gaussian process regression for streaming data
Q&A on RocketChat immediately following Lightning Talks
- [ 64973 ] Provable Generalization of Overparameterized Meta-learning Trained with SGD
- [ 64974 ] Elucidating the Design Space of Diffusion-Based Generative Models
- [ 64975 ] HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
- [ 64977 ] Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
- [ 64978 ] Fast Instrument Learning with Faster Rates
- [ 64980 ] Multi-view Subspace Clustering on Topological Manifold
- [ 64981 ] Distributional Reinforcement Learning for Risk-Sensitive Policies
Q&A on RocketChat immediately following Lightning Talks
- [ 65007 ] Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
- [ 65008 ] Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
- [ 65009 ] Revisiting Heterophily For Graph Neural Networks
- [ 65010 ] Understanding the Failure of Batch Normalization for Transformers in NLP
- [ 65011 ] A Unified Model for Multi-class Anomaly Detection
- [ 65013 ] A Closer Look at Offline RL Agents
- [ 65014 ] Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Q&A on RocketChat immediately following Lightning Talks
- [ 64984 ] PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
- [ 64985 ] Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
- [ 64986 ] Hand-Object Interaction Image Generation
- [ 64988 ] Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations
- [ 64989 ] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis
- [ 64991 ] Geometry-aware Two-scale PIFu Representation for Human Reconstruction
Q&A on RocketChat immediately following Lightning Talks
- [ 64995 ] ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis
- [ 64996 ] Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
- [ 64997 ] Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
- [ 64999 ] Conditional Diffusion Process for Inverse Halftoning
- [ 65000 ] Object-Category Aware Reinforcement Learning
- [ 65001 ] Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Q&A on RocketChat immediately following Lightning Talks
- [ 65015 ] Get More at Once: Alternating Sparse Training with Gradient Correction
- [ 65016 ] Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
- [ 65019 ] Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
- [ 65020 ] MExMI: Pool-based Active Model Extraction Crossover Membership Inference
- [ 65021 ] Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
- [ 65022 ] Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
- [ 65023 ] Optimal Positive Generation via Latent Transformation for Contrastive Learning
- [ 65025 ] Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Q&A on RocketChat immediately following Lightning Talks
- [ 65026 ] Online Frank-Wolfe with Arbitrary Delays
- [ 65028 ] Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
- [ 65030 ] Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
- [ 65031 ] Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
- [ 65034 ] Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model
- [ 65035 ] Coresets for Wasserstein Distributionally Robust Optimization Problems
- [ 65036 ] Exploitability Minimization in Games and Beyond
Q&A on RocketChat immediately following Lightning Talks
- [ 65048 ] Autoinverse: Uncertainty Aware Inversion of Neural Networks
- [ 65049 ] Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
- [ 65050 ] Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
- [ 65051 ] PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery
- [ 65052 ] Inverse Design for Fluid-Structure Interactions using Graph Network Simulators
- [ 65054 ] Learning Physical Dynamics with Subequivariant Graph Neural Networks
- [ 65055 ] PALBERT: Teaching ALBERT to Ponder
- [ 65056 ] Towards Practical Control of Singular Values of Convolutional Layers
- [ 65057 ] Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
- [ 65058 ] TA-GATES: An Encoding Scheme for Neural Network Architectures
Q&A on RocketChat immediately following Lightning Talks
- [ 65038 ] Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
- [ 65039 ] Exact Shape Correspondence via 2D graph convolution
- [ 65040 ] Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
- [ 65041 ] Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
- [ 65042 ] Learning-Augmented Algorithms for Online Linear and Semidefinite Programming
- [ 65043 ] Distributed Online Convex Optimization with Compressed Communication
- [ 65044 ] Composition Theorems for Interactive Differential Privacy
- [ 65045 ] Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
- [ 65046 ] Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Q&A on RocketChat immediately following Lightning Talks
- [ 65060 ] LieGG: Studying Learned Lie Group Generators
- [ 65062 ] Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
- [ 65066 ] Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Q&A on RocketChat immediately following Lightning Talks
- [ 65092 ] Contact-aware Human Motion Forecasting
- [ 65093 ] Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
- [ 65094 ] Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
- [ 65096 ] SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
- [ 65097 ] CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation
- [ 65098 ] AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
- [ 65099 ] TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
- [ 65100 ] Forecasting Human Trajectory from Scene History
- [ 65101 ] Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
- [ 65102 ] Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Q&A on RocketChat immediately following Lightning Talks
- [ 65070 ] GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
- [ 65071 ] S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
- [ 65072 ] Differentiable hierarchical and surrogate gradient search for spiking neural networks
- [ 65075 ] Online Training Through Time for Spiking Neural Networks
- [ 65076 ] DivBO: Diversity-aware CASH for Ensemble Learning
- [ 65079 ] Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
- [ 65080 ] Does Momentum Change the Implicit Regularization on Separable Data?
Q&A on RocketChat immediately following Lightning Talks
- [ 65103 ] Audio-Driven Co-Speech Gesture Video Generation
- [ 65104 ] Learning Equivariant Segmentation with Instance-Unique Querying
- [ 65105 ] Grounded Video Situation Recognition
- [ 65106 ] Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech
- [ 65108 ] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
- [ 65109 ] BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
- [ 65112 ] Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
- [ 65113 ] APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking
Q&A on RocketChat immediately following Lightning Talks
- [ 65081 ] Provable General Function Class Representation Learning in Multitask Bandits and MDP
- [ 65082 ] Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
- [ 65083 ] Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
- [ 65088 ] Toward Robust Spiking Neural Network Against Adversarial Perturbation
- [ 65089 ] The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
- [ 65090 ] Fuzzy Learning Machine
- [ 65091 ] BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Q&A on RocketChat immediately following Lightning Talks
- [ 65116 ] DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning
- [ 65117 ] Explicable Policy Search
- [ 65120 ] CUP: Critic-Guided Policy Reuse
- [ 65121 ] TarGF: Learning Target Gradient Field for Object Rearrangement
- [ 65122 ] RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
- [ 65123 ] When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Q&A on RocketChat immediately following Lightning Talks
- [ 65136 ] EpiGRAF: Rethinking training of 3D GANs
- [ 65137 ] CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
- [ 65138 ] HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
- [ 65139 ] Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator
- [ 65140 ] Residual Multiplicative Filter Networks for Multiscale Reconstruction
- [ 65141 ] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
- [ 65142 ] LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
- [ 65143 ] Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Q&A on RocketChat immediately following Lightning Talks
- [ 65125 ] Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
- [ 65126 ] Learning to Constrain Policy Optimization with Virtual Trust Region
- [ 65127 ] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
- [ 65128 ] Heatmap Distribution Matching for Human Pose Estimation
- [ 65129 ] Explainable Reinforcement Learning via Model Transforms
- [ 65131 ] Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
- [ 65132 ] Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
- [ 65133 ] Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
- [ 65135 ] MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification
Q&A on RocketChat immediately following Lightning Talks
- [ 65147 ] The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
- [ 65148 ] LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models
- [ 65149 ] Your Out-of-Distribution Detection Method is Not Robust!
- [ 65151 ] SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
- [ 65152 ] Accelerating Certified Robustness Training via Knowledge Transfer
- [ 65155 ] Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Q&A on RocketChat immediately following Lightning Talks
- [ 65158 ] E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
- [ 65159 ] Self-Organized Group for Cooperative Multi-agent Reinforcement Learning
- [ 65160 ] GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
- [ 65162 ] Multiagent Q-learning with Sub-Team Coordination
- [ 65163 ] Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
- [ 65164 ] Multi-agent Dynamic Algorithm Configuration
- [ 65165 ] Iso-Dream: Isolating Noncontrollable Visual Dynamics in World Models
- [ 65166 ] Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
- [ 65167 ] Learning Active Camera for Multi-Object Navigation
Q&A on RocketChat immediately following Lightning Talks
- [ 65180 ] Watermarking for Out-of-distribution Detection
- [ 65181 ] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
- [ 65183 ] Self-supervised Amodal Video Object Segmentation
- [ 65184 ] Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
- [ 65185 ] Learning Substructure Invariance for Out-of-Distribution Molecular Representations
- [ 65187 ] Stochastic Window Transformer for Image Restoration
- [ 65188 ] Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain
- [ 65189 ] Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
- [ 65190 ] AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos
Q&A on RocketChat immediately following Lightning Talks
- [ 65193 ] Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples
- [ 65195 ] Visual Concepts Tokenization
- [ 65196 ] DARE: Disentanglement-Augmented Rationale Extraction
- [ 65197 ] HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
- [ 65198 ] ZIN: When and How to Learn Invariance Without Environment Partition?
- [ 65199 ] DeepInteraction: 3D Object Detection via Modality Interaction
- [ 65200 ] Discovering Design Concepts for CAD Sketches
Q&A on RocketChat immediately following Lightning Talks
- [ 65169 ] Towards Versatile Embodied Navigation
- [ 65172 ] Equivariant Graph Hierarchy-Based Neural Networks
- [ 65173 ] Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
- [ 65174 ] Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval
- [ 65175 ] Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
- [ 65176 ] SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
- [ 65177 ] Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking
- [ 65178 ] How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
- [ 65179 ] A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
Q&A on RocketChat immediately following Lightning Talks
- [ 65224 ] A Spectral Approach to Item Response Theory
- [ 65225 ] Stability Analysis and Generalization Bounds of Adversarial Training
- [ 65226 ] Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
- [ 65228 ] Adam Can Converge Without Any Modification On Update Rules
- [ 65229 ] Poisson Flow Generative Models
- [ 65231 ] Contextual Bandits with Knapsacks for a Conversion Model
- [ 65232 ] Robust Graph Structure Learning over Images via Multiple Statistical Tests
Q&A on RocketChat immediately following Lightning Talks
- [ 65202 ] DropCov: A Simple yet Effective Method for Improving Deep Architectures
- [ 65203 ] A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
- [ 65204 ] Decoupling Features in Hierarchical Propagation for Video Object Segmentation
- [ 65205 ] BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling
- [ 65207 ] Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
- [ 65209 ] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
- [ 65210 ] Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
- [ 65211 ] Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
- [ 65212 ] Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Q&A on RocketChat immediately following Lightning Talks
- [ 65238 ] Peer Prediction for Learning Agents
- [ 65239 ] MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
- [ 65240 ] Structural Pruning via Latency-Saliency Knapsack
- [ 65241 ] On the Strong Correlation Between Model Invariance and Generalization
- [ 65243 ] Zero-Sum Stochastic Stackelberg Games
- [ 65245 ] Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Q&A on RocketChat immediately following Lightning Talks
- [ 65213 ] How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
- [ 65214 ] HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process
- [ 65215 ] LGDN: Language-Guided Denoising Network for Video-Language Modeling
- [ 65217 ] When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
- [ 65218 ] Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
- [ 65219 ] Neural-Symbolic Entangled Framework for Complex Query Answering
- [ 65220 ] DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
- [ 65221 ] A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
- [ 65222 ] Differentially Private Learning with Margin Guarantees
- [ 65223 ] DDXPlus: A New Dataset For Automatic Medical Diagnosis
Q&A on RocketChat immediately following Lightning Talks
- [ 65268 ] EcoFormer: Energy-Saving Attention with Linear Complexity
- [ 65269 ] Fast Vision Transformers with HiLo Attention
- [ 65270 ] VTC-LFC: Vision Transformer Compression with Low-Frequency Components
- [ 65271 ] SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization
- [ 65272 ] Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
- [ 65274 ] RecursiveMix: Mixed Learning with History
- [ 65275 ] Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
- [ 65276 ] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
- [ 65277 ] MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
- [ 65278 ] Feature-Proxy Transformer for Few-Shot Segmentation
Q&A on RocketChat immediately following Lightning Talks
- [ 65246 ] GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
- [ 65247 ] PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
- [ 65248 ] AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
- [ 65249 ] Efficient and Effective Augmentation Strategy for Adversarial Training
- [ 65250 ] 4D Unsupervised Object Discovery
- [ 65251 ] SNAKE: Shape-aware Neural 3D Keypoint Field
- [ 65252 ] Few-Shot Non-Parametric Learning with Deep Latent Variable Model
- [ 65253 ] Neural Shape Deformation Priors
- [ 65254 ] Few-Shot Continual Active Learning by a Robot
- [ 65255 ] Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
- [ 65256 ] Segmenting Moving Objects via an Object-Centric Layered Representation
Q&A on RocketChat immediately following Lightning Talks
- [ 65279 ] Quantized Training of Gradient Boosting Decision Trees
- [ 65280 ] Coded Residual Transform for Generalizable Deep Metric Learning
- [ 65282 ] Pyramid Attention For Source Code Summarization
- [ 65283 ] MorphTE: Injecting Morphology in Tensorized Embeddings
- [ 65284 ] Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
- [ 65285 ] Out-of-Distribution Detection via Conditional Kernel Independence Model
- [ 65286 ] Weak-shot Semantic Segmentation via Dual Similarity Transfer
- [ 65287 ] MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
- [ 65288 ] Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search
- [ 65289 ] ViSioNS: Visual Search in Natural Scenes Benchmark
Q&A on RocketChat immediately following Lightning Talks
- [ 65257 ] Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
- [ 65258 ] MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
- [ 65259 ] Two-Stream Network for Sign Language Recognition and Translation
- [ 65260 ] Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
- [ 65261 ] Egocentric Video-Language Pretraining
- [ 65262 ] Multi-dataset Training of Transformers for Robust Action Recognition
- [ 65264 ] Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
- [ 65265 ] An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
- [ 65266 ] MultiScan: Scalable RGBD scanning for 3D environments with articulated objects
- [ 65267 ] A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis
Q&A on RocketChat immediately following Lightning Talks