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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11819
2307.12158 2023-07-25 cs.LG cs.AI cs.HC

DIP-RL: Demonstration-Inferred Preference Learning in Minecraft

Ellen Novoseller, Vinicius G. Goecks, David Watkins, Josh Miller, Nicholas Waytowich

Comments Paper accepted at The Many Facets of Preference Learning Workshop at the International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, 2023

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2307.12143 2023-07-25 cs.AI cs.LG q-bio.NC

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning

Aqeel Labash, Florian Fletzer, Daniel Majoral, Raul Vicente

Comments ICML 2023

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2307.10573 2023-07-25 cs.AI

Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting

Rylan Schaeffer, Kateryna Pistunova, Samar Khanna, Sarthak Consul, Sanmi Koyejo

Comments ICML 2023 Workshop: Knowledge and Logical Reasoning in the Era of Data-driven Learning

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2307.06538 2023-07-25 cs.LG cs.DS math.OC stat.ML

Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems

Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau

Comments ICML 2023

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2306.14705 2023-07-25 cs.LG cond-mat.mtrl-sci

Augmenting Control over Exploration Space in Molecular Dynamics Simulators to Streamline De Novo Analysis through Generative Control Policies

Paloma Gonzalez-Rojas, Andrew Emmel, Luis Martinez, Neil Malur, Gregory Rutledge

Comments ICML 2023 Workshop on Structured Probabilistic Inference (SPIGM) and Generative Modeling, of the International Conference of Machine Learning (ICML)

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2306.12231 2023-07-25 cs.LG q-bio.BM

Predicting protein variants with equivariant graph neural networks

Antonia Boca, Simon Mathis

Comments 4 pages, 2 figures, accepted to the 2023 ICML Workshop on Computational Biology

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2306.06099 2023-07-25 nucl-th cs.LG nucl-ex

NuCLR: Nuclear Co-Learned Representations

Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams

Comments 7 pages, 5 figures. Accepted after peer review at the ICML 2023 1st workshop on Synergy of Scientific and Machine Learning Modeling (SynS & ML)

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2305.17535 2023-07-25 cs.LG stat.ML

PFNs4BO: In-Context Learning for Bayesian Optimization

Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter

Comments In: Proceedings of the 40th International Conference on Machine Learning (ICML'23), PMLR 202:25444-25470, 2023

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2301.11305 2023-07-25 cs.CL cs.AI

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn

Comments ICML 2023

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2301.02389 2023-07-25 cs.LG cs.RO

Provable Reset-free Reinforcement Learning by No-Regret Reduction

Hoai-An Nguyen, Ching-An Cheng

Comments Full version of the paper accepted to ICML 2023. Also spotlighted in AAAI 2023 RL4PROD Workshop

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2211.15956 2023-07-25 cs.LG cs.AI

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators

Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang

Comments Accepted at ICML 2023

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2206.02058 2023-07-25 stat.ML cs.CY cs.LG

When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction

Vinith M. Suriyakumar, Marzyeh Ghassemi, Berk Ustun

Comments ICML 2023 Oral

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2202.01108 2023-07-25 cs.AI

Learning to reason about and to act on physical cascading events

Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik

Journal ref Proceedings of the 40th International Conference on Machine Learning, 2023

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2102.13008 2023-07-25 cs.LG cs.HC cs.RO

Imitation Learning with Human Eye Gaze via Multi-Objective Prediction

Ravi Kumar Thakur, MD-Nazmus Samin Sunbeam, Vinicius G. Goecks, Ellen Novoseller, Ritwik Bera, Vernon J. Lawhern, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich

Comments Paper accepted and selected as an oral presentation at Interactive Learning with Implicit Human Feedback Workshop at ICML 2023

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2307.10037 2023-07-24 cs.CE

Single-cell RNA-seq data imputation using Feature Propagation

Sukwon Yun, Junseok Lee, Chanyoung Park

Comments ICML 2023 Workshop on Computational Biology (Contributed Talk)

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2302.10870 2023-07-24 cs.LG stat.ML

On Provable Copyright Protection for Generative Models

Nikhil Vyas, Sham Kakade, Boaz Barak

Comments Accepted at ICML 2023

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2302.04246 2023-07-24 cs.LG cs.CV

Shortcut Detection with Variational Autoencoders

Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger

Comments Accepted at the ICML 2023 Workshop on Spurious Correlations, Invariance and Stability

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2307.11352 2023-07-24 cs.LG stat.ML

Model-based Offline Reinforcement Learning with Count-based Conservatism

Byeongchan Kim, Min-hwan Oh

Comments Accepted in ICML 2023

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2307.11317 2023-07-24 cs.LG cs.AI cs.CV

XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge

Karan Shah, Vishruth Veerendranath, Anushka Hebbar, Raghavendra Bhat

Comments Submitted at ICML 2023: PAC-Bayes Interactive Learning Workshop

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2307.11281 2023-07-24 math.OC

A Fast Optimistic Method for Monotone Variational Inequalities

Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot

Comments Accepted at ICML 2023

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2307.11228 2023-07-24 cs.LG stat.ML

From Adaptive Query Release to Machine Unlearning

Enayat Ullah, Raman Arora

Comments Accepted to ICML 2023

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2307.11122 2023-07-24 astro-ph.IM cs.LG stat.AP

Diffusion Models for Probabilistic Deconvolution of Galaxy Images

Zhiwei Xue, Yuhang Li, Yash Patel, Jeffrey Regier

Comments Accepted to the ICML 2023 Workshop on Machine Learning for Astrophysics

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2302.04973 2023-07-24 cs.CV cs.AI cs.LG

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames

Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf

Comments Accepted at ICML 2023. Project page: https://invariantsa.github.io/

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2210.03297 2023-07-24 cs.CR cs.CV cs.LG

Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems

Chawin Sitawarin, Florian Tramèr, Nicholas Carlini

Comments ICML 2023. Code can be found at https://github.com/google-research/preprocessor-aware-black-box-attack

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2307.10999 2023-07-21 cs.LG stat.ML

Private Federated Learning with Autotuned Compression

Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh

Comments Accepted to ICML 2023

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2307.10923 2023-07-21 cs.LG

Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series

Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin M. Stultz

Comments ICML 2023

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2307.10563 2023-07-21 cs.LG cs.AI

FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation

Dhruv Pai, Andres Carranza, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo

Comments Accepted as BlueSky Poster at 2023 ICML AdvML Workshop

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2307.10476 2023-07-21 cs.CR cs.CL

What can we learn from Data Leakage and Unlearning for Law?

Jaydeep Borkar

Comments 5 pages, 8 figures, accepted to the first GenLaw workshop at ICML'23, Hawai'i

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2307.10343 2023-07-21 q-bio.GN cs.LG

ProtiGeno: a prokaryotic short gene finder using protein language models

Tony Tu, Gautham Krishna, Amirali Aghazadeh

Comments Accepted at the 2023 ICML Workshop on Computational Biology

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2302.10980 2023-07-21 cs.LG cs.CR

MultiRobustBench: Benchmarking Robustness Against Multiple Attacks

Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal

Comments ICML 2023

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