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期刊&会议

International Conference on Learning Representations · 会议 · Machine Learning

共收录 9459
2110.03735 2022-02-08 cs.LG cs.CR cs.CV

Adversarial Unlearning of Backdoors via Implicit Hypergradient

Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia

Comments In proceeding of the Tenth International Conference on Learning Representations (ICLR 2022)

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2103.03905 2022-02-08 cs.NE cs.AI cs.CV cs.LG stat.ML

Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory

Jason Ramapuram, Yan Wu, Alexandros Kalousis

Journal ref ICLR 2021

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2202.01784 2022-02-07 cs.SD cs.LG eess.AS

Robust Audio Anomaly Detection

Wo Jae Lee, Karim Helwani, Arvindh Krishnaswamy, Srikanth Tenneti

Comments Accepted paper at RobustML Workshop@ICLR 2021

Journal ref RobustML Workshop - ICLR 2021

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2202.00838 2022-02-07 cs.CV cs.AI q-bio.NC

Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks

Anne Harrington, Arturo Deza

Comments Accepted to ICLR 2022 as a Spotlight

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2201.09765 2022-02-07 cs.LG cs.AI cs.CV

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

Haichao Zhang, Wei Xu, Haonan Yu

Comments Spotlight paper at the 10th International Conference on Learning Representations (ICLR 2022)

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2111.12193 2022-02-07 cs.LG stat.ML

Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek

Comments Published at International Conference on Learning Representations (ICLR) 2022

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2111.00034 2022-02-07 stat.ML cs.LG

Neural Networks as Kernel Learners: The Silent Alignment Effect

Alexander Atanasov, Blake Bordelon, Cengiz Pehlevan

Comments 29 pages, 15 figures. Added additional experiments and expanded the derivations in the appendix

Journal ref ICLR 2022

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2110.11346 2022-02-07 cs.AR cs.LG

Data-Driven Offline Optimization For Architecting Hardware Accelerators

Aviral Kumar, Amir Yazdanbakhsh, Milad Hashemi, Kevin Swersky, Sergey Levine

Comments First two authors contributed equally; published at ICLR 2022

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2110.04260 2022-02-07 cs.CL cs.LG

Taming Sparsely Activated Transformer with Stochastic Experts

Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao

Comments ICLR 2022

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2107.05802 2022-02-04 cs.LG stat.ML

How many degrees of freedom do we need to train deep networks: a loss landscape perspective

Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli

Comments ICLR 2022

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2201.12360 2022-02-03 cs.NE

Variational Neural Cellular Automata

Rasmus Berg Palm, Miguel González-Duque, Shyam Sudhakaran, Sebastian Risi

Comments ICLR 2022

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2110.04366 2022-02-03 cs.CL cs.LG

Towards a Unified View of Parameter-Efficient Transfer Learning

Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Comments ICLR 2022 (spotlight presentation). Code is available at https://github.com/jxhe/unify-parameter-efficient-tuning

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2110.02037 2022-02-03 cs.LG stat.ML

Autoregressive Diffusion Models

Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans

Comments Published as a conference paper at International Conference on Learning Representations (ICLR) 2022

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2106.12144 2022-02-03 cs.CL cs.AI cs.LG

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs

Mikhail Galkin, Etienne Denis, Jiapeng Wu, William L. Hamilton

Comments Accepted to ICLR 2022

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2106.05187 2022-02-03 cs.CV cs.GR cs.LG

Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields

Wang Yifan, Lukas Rahmann, Olga Sorkine-Hornung

Comments Accepted to ICLR 2022, 20 pages including appendix. Code available at https://github.com/yifita/idf

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2110.02870 2022-02-02 cs.CL cs.SE

Capturing Structural Locality in Non-parametric Language Models

Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn

Comments ICLR 2022

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2202.00280 2022-02-02 cs.LG stat.ML

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?

Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher Brinton

Comments In Proceedings of the 10th International Conference on Learning Representations (ICLR) 2022

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2202.00155 2022-02-02 cs.LG cs.AI cs.NE

Fortuitous Forgetting in Connectionist Networks

Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville

Comments ICLR Camera Ready

Journal ref ICLR 2022

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2110.03331 2022-02-02 cs.LG

CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability

Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting

Comments International Conference on Learning Representations (ICLR) 2022

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2201.13182 2022-02-01 cs.CV

Learning Super-Features for Image Retrieval

Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis

Comments ICLR 2022

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2201.12872 2022-02-01 cs.LG

Discovering Invariant Rationales for Graph Neural Networks

Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua

Comments ICLR 2022

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2111.10952 2022-02-01 cs.CL cs.LG

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q. Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler

Comments ICLR 2022; see https://youtu.be/FbRcbM4T-50 for a video overview of the paper

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2110.04367 2022-02-01 cs.LG stat.ML

Hybrid Random Features

Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller

Comments Published as a conference paper at ICLR 2022

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2109.10686 2022-02-01 cs.CL cs.AI cs.CV cs.LG

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

Yi Tay, Mostafa Dehghani, Jinfeng Rao, William Fedus, Samira Abnar, Hyung Won Chung, Sharan Narang, Dani Yogatama, Ashish Vaswani, Donald Metzler

Comments ICLR 2022 + Updated Checkpoint Release

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2105.14491 2022-02-01 cs.LG

How Attentive are Graph Attention Networks?

Shaked Brody, Uri Alon, Eran Yahav

Comments Published in ICLR 2022

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2105.01869 2022-02-01 cs.LG cs.IT math.IT

Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression

Baeseong Park, Se Jung Kwon, Daehwan Oh, Byeongwook Kim, Dongsoo Lee

Comments ICLR 2022 Accepted

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2104.04465 2022-02-01 cs.CV cs.LG

Bootstrapping Semantic Segmentation with Regional Contrast

Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison

Comments Published at ICLR 2022. Project Page: https://shikun.io/projects/regional-contrast. Code: https://github.com/lorenmt/reco

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2105.04906 2022-01-31 cs.CV cs.AI cs.LG

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Adrien Bardes, Jean Ponce, Yann LeCun

Comments Accepted at ICLR 2022

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2110.04624 2022-01-31 q-bio.BM cs.LG

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi Jaakkola

Comments Accepted to ICLR 2022

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2201.11259 2022-01-28 cs.LG cs.CV

Controlling Directions Orthogonal to a Classifier

Yilun Xu, Hao He, Tianxiao Shen, Tommi Jaakkola

Comments accepted by ICLR 2022

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