ICLR

Keyphrases

Publications

2023

Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR (2023)
Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan L. Yuille
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. ICLR (2023)
Wenlong Chen, Yingzhen Li
Calibrating Transformers via Sparse Gaussian Processes. ICLR (2023)
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR (2023)
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
Score-based Continuous-time Discrete Diffusion Models. ICLR (2023)
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
What Is Missing in IRM Training and Evaluation? Challenges and Solutions. ICLR (2023)
Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Valid P-Value for Deep Learning-driven Salient Region. ICLR (2023)
Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction. ICLR (2023)
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. ICLR (2023)
Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR (2023)
Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization. ICLR (2023)
Fan Chen, Yu Bai, Song Mei
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms. ICLR (2023)
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions. ICLR (2023)
Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning. ICLR (2023)
Yicong Jiang, Tracy Ke
Semi-supervised Community Detection via Structural Similarity Metrics. ICLR (2023)
Dongliang Guo, Zhixuan Chu, Sheng Li
Fair Attribute Completion on Graph with Missing Attributes. ICLR (2023)
Ziyin Liu, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka
What shapes the loss landscape of self supervised learning? ICLR (2023)
Aldo Pacchiano, Drausin Wulsin, Robert A. Barton, Luis F. Voloch
Neural Design for Genetic Perturbation Experiments. ICLR (2023)
Jintai Chen, Kuanlun Liao, Yanwen Fang, Danny Z. Chen, Jian Wu
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing. ICLR (2023)
Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware. ICLR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity. ICLR (2023)
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR (2023)
James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. ICLR (2023)
Edward De Brouwer, Rahul G. Krishnan
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections. ICLR (2023)
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR (2023)
Enrico Marchesini, Christopher Amato
Improving Deep Policy Gradients with Value Function Search. ICLR (2023)
Yucheng Lu, Conglong Li, Minjia Zhang, Christopher De Sa, Yuxiong He
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam. ICLR (2023)
Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Continuous pseudo-labeling from the start. ICLR (2023)
Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. ICLR (2023)
Xiang Hu, Xinyu Kong, Kewei Tu
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification. ICLR (2023)
Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks. ICLR (2023)
Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
Decision Transformer under Random Frame Dropping. ICLR (2023)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. ICLR (2023)
Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. ICLR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR (2023)
Yuge Shi, Imant Daunhawer, Julia E. Vogt, Philip H. S. Torr, Amartya Sanyal
How robust is unsupervised representation learning to distribution shift? ICLR (2023)
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR (2023)
Yun-Chen Lo, Tse-Kuang Lee, Ren-Shuo Liu
Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference. ICLR (2023)
Sheng Li, Geng Yuan, Yue Dai, Youtao Zhang, Yanzhi Wang, Xulong Tang
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. ICLR (2023)
Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu
Understanding Train-Validation Split in Meta-Learning with Neural Networks. ICLR (2023)
Blake Bordelon, Cengiz Pehlevan
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks. ICLR (2023)
Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. ICLR (2023)
Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR (2023)
Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen
Federated Nearest Neighbor Machine Translation. ICLR (2023)
Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Andrew Stavroulakis
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. ICLR (2023)
Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR (2023)
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR (2023)
Lin Li, Michael W. Spratling
Data augmentation alone can improve adversarial training. ICLR (2023)
Takashi Matsubara, Takaharu Yaguchi
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR (2023)
Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR (2023)