Papers
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai, Zihang Dai, Yiming Yang et al.
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark et al.
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín et al.
Efficient Graph Generation with Graph Recurrent Attention Networks
Renjie Liao, Yujia Li, Yang Song et al.
Learning step sizes for unfolded sparse coding
Pierre Ablin, Thomas Moreau, Mathurin Massias et al.
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Ngoc-Trung Tran, Viet-Hung Tran, Bao-Ngoc Nguyen et al.
Quadratic Video Interpolation
Xiangyu Xu, Li Siyao, Wenxiu Sun et al.
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze et al.
Locally Private Learning without Interaction Requires Separation
Amit Daniely, Vitaly Feldman
Discovering Neural Wirings
Mitchell Wortsman, Ali Farhadi, Mohammad Rastegari
Data-driven Estimation of Sinusoid Frequencies
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
Program Synthesis and Semantic Parsing with Learned Code Idioms
Eui Chul Shin, Miltiadis Allamanis, Marc Brockschmidt et al.
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H Macke et al.
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao, Quanquan Gu
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai et al.
A Primal Dual Formulation For Deep Learning With Constraints
Yatin Nandwani, Abhishek Pathak, Mausam et al.
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
Xuesong Niu, Hu Han, Shiguang Shan et al.
Self-attention with Functional Time Representation Learning
Da Xu, Chuanwei Ruan, Evren Korpeoglu et al.
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Karim Ahmed, Lorenzo Torresani
Provable Non-linear Inductive Matrix Completion
Kai Zhong, Zhao Song, Prateek Jain et al.
Robustness Verification of Tree-based Models
Hongge Chen, Huan Zhang, Si Si et al.
On Human-Aligned Risk Minimization
Liu Leqi, Adarsh Prasad, Pradeep K Ravikumar
KerGM: Kernelized Graph Matching
Zhen Zhang, Yijian Xiang, Lingfei Wu et al.
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks
Gunjan Verma, Ananthram Swami
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo Hermsdorff, Lee Gunderson