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(Venues)
Published year
2025
2024
2023
2022
2021
2020
2019
2018
2017
MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2025
Authors
Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Jason Ramapuram*, Federico Danieli*, Eeshan Gunesh Dhekane*, Floris Weers*, Dan Busbridge*, Pierre Ablin*, Tatiana Likhomanenko*, Jagrit Digani, Zijin Gu, Amitis Shidani, Russ Webb
Cut Your Losses in Large-Vocabulary Language Models
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2025
Authors
Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
Provable Uncertainty Decomposition via Higher-Order Calibration
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder
Generative Modeling with Phase Stochastic Bridges
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua Susskind, Shuangfei Zhai
Conformal Prediction via Regression-as-Classification
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Etash Guha, Shlok Natarajan, Thomas Mollenhoff, Emtiyaz Khan, Eugene Ndiaye
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
content type
paper
|
research area
Data Science and Annotation
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Aadi Saha, Brano Kveton
Guiding Instruction-based Image Editing via Multimodal Large Language Models
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Wang, Yinfei Yang, Zhe Gan
Pseudo-Generalized Dynamic View Synthesis from a Video
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Angel Bautista Martin, Josh Susskind, Alex Schwing
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MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2025
Authors
Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Jason Ramapuram*, Federico Danieli*, Eeshan Gunesh Dhekane*, Floris Weers*, Dan Busbridge*, Pierre Ablin*, Tatiana Likhomanenko*, Jagrit Digani, Zijin Gu, Amitis Shidani, Russ Webb
Cut Your Losses in Large-Vocabulary Language Models
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2025
Authors
Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang
Provable Uncertainty Decomposition via Higher-Order Calibration
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2025
Authors
Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder
Generative Modeling with Phase Stochastic Bridges
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua Susskind, Shuangfei Zhai
Conformal Prediction via Regression-as-Classification
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Etash Guha, Shlok Natarajan, Thomas Mollenhoff, Emtiyaz Khan, Eugene Ndiaye
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling
content type
paper
|
research area
Data Science and Annotation
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Aadi Saha, Brano Kveton
Guiding Instruction-based Image Editing via Multimodal Large Language Models
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Wang, Yinfei Yang, Zhe Gan
Pseudo-Generalized Dynamic View Synthesis from a Video
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Angel Bautista Martin, Josh Susskind, Alex Schwing
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2024
Authors
Iman Mirzadeh, Keivan Alizadeh Vahid, Sachin Mehta, Carlo C Del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
Compressing LLMs: The Truth is Rarely Pure and Never Simple
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2024
Authors
Ajay Jaiswal, Zhe Gan, Xianzhi Du, Bowen Zhang, Zhangyang Wang, Yinfei Yang
Large Language Models as Generalizable Policies for Embodied Tasks
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Rin Metcalf Susa, Natalie Mackraz, Devon Hjelm, Alexander Toshev
Manifold Diffusion Fields
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Ahmed Elhag, Yuyang Wang, Josh Susskind, Miguel Angel Bautista Martin
MOFI: Learning Image Representation from Noisy Entity Annotated Images
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathan Shlens, Xianzhi Du, Zhe Gan, Yinfei Yang
Poly-View Contrastive Learning
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Amitis Shidani, Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan Busbridge
When Can Transformers Reason With Abstract Symbols?
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Enric Boix-Adsera, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Josh Susskind
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2024
Authors
Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Yao Yao
Matryoshka Diffusion Models
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Josh Susskind, Navdeep Jaitly
Hindsight PRIORs for Reward Learning from Human Preferences
content type
paper
|
research area
Human-Computer Interaction
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Mudit Verma, Rin Metcalf Susa
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descen
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Ziyao Wang, Jianyu Wang, Ang Li
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Yuhang Zang, Hanlin Goh, Josh Susskind, Chen Huang
Vanishing Gradients in Reinforcement Finetuning of Language Models
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2024
Authors
Noam Razin, Hattie Zhou, Preetum Nakkilan, Josh Susskind, Omid Saremi, Arwen Bradley, Vimal Thilak, Etai Littwin
Data Filtering Networks
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar
Efficient-3Dim: Learning a Generalizable Single Image Novel View Synthesizer in One Day
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Yifan Jiang, Hao Tang, Rick Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
TiC-CLIP: Continual Training of CLIP Models
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Saurabh Garg, Hadi Pour Ansari, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Efficient ConvBN Blocks for Transfer Learning and Beyond
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
Large-scale Training of Foundation Models for Wearable Biosignals
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2024
Authors
Salar Abbaspourazad, Oussama Elachqar, Andrew C. Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
FERRET: Refer and Ground Anything Anywhere at Any Granularity
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2023
Authors
Haoxuan You, Haotian (AIML) Zhang, Liangliang Cao, Zhe Gan, Bowen Zhang, Zirui Wang, Xianzhi Du, Shih-Fu Chang, Yinfei Yang
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
content type
paper
|
research area
Computer Vision
|
conference
ICLR
,
Workshop at NeurIPS
Published year
2023
Authors
Vimal Thilak, Omid Saremi, Preetum Nakkiran, Josh Susskind, Chen Huang, Hanlin Goh, Laurent Dinh, Etai Littwin
What Algorithms can Transformers Learn? A Study in Length Generalization
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
,
Workshop at NeurIPS
Published year
2023
Authors
Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Josh Susskind, Samy Bengio, Preetum Nakkiran
Considerations for Distribution Shift Robustness in Health
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
Authors
Arno Blaas*, Andrew C. Miller*, Luca Zappella, Jörn-Henrik Jacobsen, Christina Heinze-Deml
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
Authors
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Miguel Ángel Bautista, Joshua M. Susskind
Continuous Pseudo-Labeling from the Start
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
conference
ICLR
Published year
2023
In collaboration with Carnegie Mellon University
Authors
Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
Authors
Chen Huang, Hanlin Goh, Jiatao Gu, Josh Susskind
RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
In collaboration with Georgia Institute of Technology
Authors
Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi
FastFill: Efficient Compatible Model Update
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
Authors
Florian Jaeckle*, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari*
Diffusion Probabilistic Fields
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2023
Authors
Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista
Differentiable K-Means Clustering Layer for Neural Network Compression
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2022
Authors
Minsik Cho*, Keivan A. Vahid*, Saurabh Adya, Mohammad Rastegari
Neural Fisher Kernel: Low-rank Approximation and Knowledge Distillation
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2022
In collaboration with Université de Montréal
Authors
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh Susskind
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
content type
paper
|
research area
Computer Vision
|
conference
ICLR
Published year
2022
Authors
Sachin Mehta, Mohammad Rastegari
Information Gain Propagation: A New Way to Graph Active Learning with Soft Labels
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2022
Authors
Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan , Zhi Yang, Bin Cui
Capsules with Inverted Dot-Product Attention Routing
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2020
In collaboration with Carnegie Mellon University
Authors
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
content type
paper
|
research area
Methods and Algorithms
|
conference
ICLR
Published year
2020
In collaboration with University of California, Berkeley
Authors
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
Research - Apple Machine Learning Research