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Poster
Thu 8:45 Generator Born from Classifier
Runpeng Yu · Xinchao Wang
Poster
Wed 15:00 Provable Training for Graph Contrastive Learning
Yue Yu · Xiao Wang · Mengmei Zhang · Nian Liu · Chuan Shi
Poster
Thu 15:00 Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu · Ye Shi · Jingya Wang
Poster
Tue 8:45 Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks
Zihao Wang · Lei Wu
Workshop
The Double-Edged Sword: Perception and Uncertainty in Inverse Problems
Regev Cohen · Ehud Rivlin · Daniel Freedman
Workshop
The Next Symbol Prediction Problem: PAC-learning and its relation to Language Models
Satwik Bhattamishra · Phil Blunsom · Varun Kanade
Poster
Tue 15:15 Direct Diffusion Bridge using Data Consistency for Inverse Problems
Hyungjin Chung · Jeongsol Kim · Jong Chul Ye
Workshop
Sat 12:01 Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha · Joelle Pineau
Workshop
Latent Painter
Shih-Chieh Su
Workshop
Sat 9:25 Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
Shuvro Chowdhury · Shaila Niazi · Kerem Camsari
Workshop
Fri 8:50 Memory Architectures for Deep Learning
Sepp Hochreiter
Workshop
Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?
Karthick Panner Selvam · Mats Brorsson