ICLR

Capturing Label Characteristics in VAEs

Tom Joy, Sebastian M. Schmon, Philip H. S. Torr, N. Siddharth, Tom Rainforth

Comments Accepted to ICLR 2021

Increasing the Cost of Model Extraction with Calibrated Proof of Work

Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot

Comments Published as a conference paper at ICLR 2022 (Spotlight - 5% of submitted papers)

Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation

Julius Adebayo, Michael Muelly, Hal Abelson, Been Kim

Journal ref ICLR 2022 conference paper

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Comments Accepted at ICLR (International Conference on Learning Representations) 2021

Label Encoding for Regression Networks

Deval Shah, Zi Yu Xue, Tor M. Aamodt

Comments Published at ICLR 2022

Journal ref International Conference on Learning Representations 2022 (https://openreview.net/pdf?id=8WawVDdKqlL)

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning

Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

Comments Extended version of the ICLR 2022 paper PiCO; see https://openreview.net/forum?id=EhYjZy6e1gJ

Learning Hierarchical Structures with Differentiable Nondeterministic Stacks

Brian DuSell, David Chiang

Comments 17 pages, 4 figures. Published as a spotlight paper at ICLR 2022. This revision fixes typos and minor errors

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu

Comments Accepted by ICLR 2022. Codes are made publically available at https://github.com/ma-xu/pointMLP-pytorch; updated some errors

Discovering Unsupervised Behaviours from Full-State Trajectories

Luca Grillotti, Antoine Cully

Comments Published at the Workshop on Agent Learning in Open-Endedness (ALOE) at ICLR 2022. arXiv admin note: substantial text overlap with arXiv:2204.09828

Neural Networks as Paths through the Space of Representations

Richard D. Lange, Devin Kwok, Jordan Matelsky, Xinyue Wang, David S. Rolnick, Konrad P. Kording

Comments 10 pages, submitted to ICLR 2023

Spherical Message Passing for 3D Graph Networks

Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji

Comments The paper has been accepted by ICLR 2022. You can also cite the conference version

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning

Kanil Patel, William Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

Comments Accepted at International Conference on Learning Representations, ICLR 2021. Openreview link: https://openreview.net/forum?id=AICNpd8ke-m

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar

Comments ICLR 2021. v3 moves several figures from the appendix into the main text, and adds more discussion regarding Jastrzębski et al (2020): https://doi.org/10.48550/arXiv.2002.09572

Rethinking Attention with Performers

Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller

Comments Published as a conference paper + oral presentation at ICLR 2021. 38 pages. See https://github.com/google-research/google-research/tree/master/protein_lm for protein language model code, and https://github.com/google-research/google-research/tree/master/performer for Performer code. See https://ai.googleblog.com/2020/10/rethinking-attention-with-performers.html for Google AI Blog

Caveats for information bottleneck in deterministic scenarios

Artemy Kolchinsky, Brendan D. Tracey, Steven Van Kuyk

Journal ref International Conference on Learning Representations (ICLR), 2019

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

Hyeong-Seok Choi, Jinhyeok Yang, Juheon Lee, Hyeongju Kim

Comments Submitted to ICLR 2023

Evolving Reinforcement Learning Algorithms

John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust

Comments ICLR 2021 Oral. See project website at https://sites.google.com/view/evolvingrl

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel

Comments Accepted at ICLR 2019 (oral)

Metacontrol for Adaptive Imagination-Based Optimization

Jessica B. Hamrick, Andrew J. Ballard, Razvan Pascanu, Oriol Vinyals, Nicolas Heess, Peter W. Battaglia

Comments Published as a conference paper at ICLR 2017

Towards learning to explain with concept bottleneck models: mitigating information leakage

Joshua Lockhart, Nicolas Marchesotti, Daniele Magazzeni, Manuela Veloso

Journal ref Presented at ICLR 2022 Workshop on Socially Responsible Machine Learning

Learning to Annotate Part Segmentation with Gradient Matching

Yu Yang, Xiaotian Cheng, Hakan Bilen, Xiangyang Ji

Comments ICLR 2022

Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays

Krzysztof Maziarz, Anna Krason, Zbigniew Wojna

Comments Presented at the Workshop on AI for Public Health at ICLR 2021

OntoProtein: Protein Pretraining With Gene Ontology Embedding

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen

Comments Accepted by ICLR 2022

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li

Comments Published in ICLR 2021. A bug in previous versions is fixed

Pseudo Numerical Methods for Diffusion Models on Manifolds

Luping Liu, Yi Ren, Zhijie Lin, Zhou Zhao

Comments ICLR 2022

Adversarial Retriever-Ranker for dense text retrieval

Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen

Comments ICLR 2022

Calibration tests beyond classification

David Widmann, Fredrik Lindsten, Dave Zachariah

Comments 37 pages, 12 figures. Fixes some comments about the kernel choice in the original paper: ICLR2021/pull/6" target="_blank" rel="noopener">https://github.com/devmotion/Calibration_ICLR2021/pull/6

Journal ref International Conference on Learning Representations (2021)

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

Sanchit Gandhi, Patrick von Platen, Alexander M. Rush

Comments 25 pages, 1 figure, submitted to ICLR 2023

Hybrid-Regressive Neural Machine Translation

Qiang Wang, Xinhui Hu, Ming Chen

Comments Submitted to ICLR 2023

Granger causal inference on DAGs identifies genomic loci regulating transcription

Rohit Singh, Alexander P. Wu, Bonnie Berger

Comments Presented at the International Conference on Learning Representations 2022