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(Venues)
Published year
2025
2024
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2022
2021
2020
2019
2018
2017
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
On a Neural Implementation of Brenier's Polar Factorization
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Nina Vesseron, Marco Cuturi Cameto
CodeAct: Your LLM Agent Acts Better when Generating Code
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Ji Heng
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Zoe Piran, Michal Klein, James Thornton, Marco Cuturi Cameto
How Smooth Is Attention?
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Valérie Castin, Pierre Ablin, Gabriel Peyré
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Denys Pushkin, Raphael Berthier, Emmanuel Abbe
Whispering Experts: Toxicity Mitigation in Pre-trained Language Models by Dampening Expert Neurons
content type
paper
|
research area
Fairness
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Xavier Suau Cuadros, Pieter Delobelle, Rin Metcalf Susa, Armand Joulin, Nick Apostoloff, Luca Zappella, Pau Rodriguez Lopez
Careful With That Scalpel: Improving Gradient Surgery With an EMA
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Yu-Guan Hsieh, James Thornton, Eugene Ndiaye, Michal Klein, Marco Cuturi Cameto, Pierre Ablin
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibikohnehshahri
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2024
Authors
Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar, Samson Zhou
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LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
On a Neural Implementation of Brenier's Polar Factorization
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Nina Vesseron, Marco Cuturi Cameto
CodeAct: Your LLM Agent Acts Better when Generating Code
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Ji Heng
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Zoe Piran, Michal Klein, James Thornton, Marco Cuturi Cameto
How Smooth Is Attention?
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Valérie Castin, Pierre Ablin, Gabriel Peyré
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Denys Pushkin, Raphael Berthier, Emmanuel Abbe
Whispering Experts: Toxicity Mitigation in Pre-trained Language Models by Dampening Expert Neurons
content type
paper
|
research area
Fairness
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Xavier Suau Cuadros, Pieter Delobelle, Rin Metcalf Susa, Armand Joulin, Nick Apostoloff, Luca Zappella, Pau Rodriguez Lopez
Careful With That Scalpel: Improving Gradient Surgery With an EMA
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Yu-Guan Hsieh, James Thornton, Eugene Ndiaye, Michal Klein, Marco Cuturi Cameto, Pierre Ablin
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar Najibikohnehshahri
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2024
Authors
Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar, Samson Zhou
Optimization Without Retraction on the Random Generalized Stiefel Manifold
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Simon Vary, Pierre Ablin, Bin Gao, P.-A. Absil
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
content type
paper
|
research area
Data Science and Annotation
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Jonathan Scott, Áine Cahill
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2024
Authors
Yuyang Wang, Ahmed Elhag, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista Martin
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2024
Authors
Minsik Cho, Mohammad Rastegari, Devang Naik
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models
content type
paper
|
research area
Computer Vision
|
conference
ICML
Published year
2024
Authors
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
Differentially Private Heavy Hitter Detection using Federated Analytics
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
,
conference
IEEE SaTML
Published year
2024
In collaboration with Stanford University
Authors
Karan Chadha, Junye Chen, John Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, and Kunal Talwar
Conformalization of Sparse Generalized Linear Models
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
In collaboration with Georgia Institute of Technology
Authors
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
DUET: 2D Structured and Equivariant Representations
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
PDP: Parameter-free Differentiable Pruning is All You Need
content type
paper
|
research area
Methods and Algorithms
,
research area
Tools, Platforms, Frameworks
|
conference
ICML
,
conference
NeurIPS
Published year
2023
Authors
Minsik Cho, Saurabh Adya, Devang Naik
Population Expansion for Training Language Models with Private Federated Learning
content type
paper
|
research area
Privacy
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2023
In collaboration with University of California, San Diego
Authors
Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis
The Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
UPSCALE: Unconstrained Channel Pruning
content type
paper
|
research area
Computer Vision
|
conference
ICML
Published year
2023
Authors
Alvin Wan, Hans Hao, Kaushik Patnaik, Sam Xu, Omer Hadad, David Guera, Zhile Ren, Qi Shan
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
In collaboration with University of California, San Diego, University of Pennsylvania
Authors
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Josh Susskind
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Marco Cuturi, Michal Klein, Pierre Ablin
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Shuangfei Zhai*, Tatiana Likhomanenko*, Etai Littwin*, Dan Busbridge*, Jason Ramapuram*, Yizhe Zhang, Jiatao Gu, Josh M. Susskind.
The Monge Gap: A Regularizer to Learn All Transport Maps
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Théo Uscidda, Marco Cuturi
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2023
In collaboration with Tel Aviv University
Authors
Hilal Asi*, Vitaly Feldman*, Tomer Koren*, Kunal Talwar*
Robustness in Multimodal Learning under Train-Test Modality Mismatch
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
Authors
Brandon McKinzie, Joseph Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev
From Robustness to Privacy and Back
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2023
Authors
Hilal Asi*, Jonathan Ullman*, Lydia Zakynthinou*
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
Award
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2023
In collaboration with EPFL
Authors
Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk
Efficient Representation Learning via Adaptive Context Pooling
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2022
Authors
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh Susskind
Optimal Algorithms for Mean Estimation under Local Differential Privacy
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2022
In collaboration with Stanford University
Authors
Hilal Asi*, Vitaly Feldman*, Kunal Talwar*
Position Prediction as an Effective Pre-training Strategy
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2022
Authors
Shuangfei Zhai, Navdeep Jaitly, Tatiana Likhomanenko, Jason Ramapuram, Dan Busbridge, Walter Talbott, Chen Huang, Hanlin Goh, Joseph Yitan Cheng, Josh Susskind
Private Frequency Estimation via Projective Geometry
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2022
In collaboration with University of California, Berkeley
Authors
Vitaly Feldman*, Jelani Nelson*, Huy Nguyen*, Kunal Talwar*
Self-Conditioning Pre-Trained Language Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2022
Authors
Xavier Suau, Luca Zappella, Nicholas Apostoloff
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2022
In collaboration with University of California, San Diego
Authors
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Swetha Koppula, Xiaoshuai Zhang, Oncel Tuzel
Learning Neural Network Subspaces
content type
paper
|
research area
Computer Vision
,
research area
Data Science and Annotation
|
conference
ICML
Published year
2021
Authors
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Lossless Compression of Efficient Private Local Randomizers
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2021
Authors
Vitaly Feldman, Kunal Talwar
Private Adaptive Gradient Methods for Convex Optimization
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2021
Authors
Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar
Private Stochastic Convex Optimization: Optimal Rates in ℓ1 Geometry
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
conference
ICML
Published year
2021
Authors
Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2021
Authors
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Josh Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
AdaScale SGD: A User-Friendly Algorithm for Distributed Training
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2020
Authors
Tyler B. Johnson, Pulkit Agrawal, Haijie Gu, Carlos Guestrin
Equivariant Neural Rendering
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2020
Authors
Emilien Dupont, Miguel Angel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh Susskind, Qi Shan
Learning to Branch for Multi-Task Learning
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICML
Published year
2020
Authors
Pengsheng Guo, Chen-Yu Lee, Daniel Ulbricht
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICML
Published year
2019
Authors
Ahmed Hussen Abdelaziz, Barry-John Theobald, Justin Binder, Gabriele Fanelli, Paul Dixon, Nicholas Apostoloff, Thibaut Weise, Sachin Kajareker
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
content type
paper
|
research area
Methods and Algorithms
|
conference
ICML
Published year
2019
Authors
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Angel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
Structured Control Nets for Deep Reinforcement Learning
content type
paper
|
research area
Computer Vision
|
conference
ICML
Published year
2018
In collaboration with Carnegie Mellon University
Authors
Mario Srouji, Jian Zhang, Ruslan Salakhutdinov
Research - Apple Machine Learning Research