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(Venues)
Published year
2025
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2023
2022
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2020
2019
2018
2017
Momentum Approximation in Asynchronous Private Federated Learning
content type
paper
|
research area
Privacy
|
Workshop at NeurIPS
Published year
2024
Authors
Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan
SALSA: Soup-Based Alignment Learning for Stronger Adaptation in RLHF
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Atoosa Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh
Classifier-Free Guidance Is a Predictor-Corrector
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2024
Authors
Arwen Bradley, Preetum Nakkiran
Efficient and Effective Uncertainty Quantification in LLMs
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Miao Xiong, Andrea Santilli, Michael Kirchhof, Adam Golinski, Sinead Williamson
Memory-Retaining Finetuning via Distillation
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Zitong Yang, Aonan Zhang, Sam Wiseman, Xiang Kong, Ke Ye, Dong Yin
Do LLMs Estimate Uncertainty Well in Instruction-Following?
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain
Do LLMs Internally "Know" When They Follow Instructions?
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain
Do Compressed LLMs Forget Knowledge? An Experimental Study with Practical Implications
content type
paper
|
research area
Methods and Algorithms
,
research area
Tools, Platforms, Frameworks
|
Workshop at NeurIPS
Published year
2024
Authors
Scott Hoang, Minsik Cho, Thomas Merth, Atlas Wang, Mohammad Rastegari, Devang Naik
Speculative Streaming: Fast LLM Inference Without Auxiliary Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
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Momentum Approximation in Asynchronous Private Federated Learning
content type
paper
|
research area
Privacy
|
Workshop at NeurIPS
Published year
2024
Authors
Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Yusu Qian, Haotian Zhang, Yinfei Yang, Zhe Gan
SALSA: Soup-Based Alignment Learning for Stronger Adaptation in RLHF
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Atoosa Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh
Classifier-Free Guidance Is a Predictor-Corrector
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2024
Authors
Arwen Bradley, Preetum Nakkiran
Efficient and Effective Uncertainty Quantification in LLMs
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Miao Xiong, Andrea Santilli, Michael Kirchhof, Adam Golinski, Sinead Williamson
Memory-Retaining Finetuning via Distillation
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Zitong Yang, Aonan Zhang, Sam Wiseman, Xiang Kong, Ke Ye, Dong Yin
Do LLMs Estimate Uncertainty Well in Instruction-Following?
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain
Do LLMs Internally "Know" When They Follow Instructions?
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley Ren, Udhay Nallasamy, Andy Miller, Kwan Ho Ryan Chan, Jaya Narain
Do Compressed LLMs Forget Knowledge? An Experimental Study with Practical Implications
content type
paper
|
research area
Methods and Algorithms
,
research area
Tools, Platforms, Frameworks
|
Workshop at NeurIPS
Published year
2024
Authors
Scott Hoang, Minsik Cho, Thomas Merth, Atlas Wang, Mohammad Rastegari, Devang Naik
Speculative Streaming: Fast LLM Inference Without Auxiliary Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Nikhil Bhendawade, Irina Belousova, Qichen Fu, Henry Mason, Mohammad Rastegari, Mahyar Najibi
Towards Low-Bit Communication for Tensor Parallel LLM Inference
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2024
Authors
Etai Littwin, Vimal Thilak, Anand Gopalakrishnan
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
Device-Directed Speech Detection for Follow-up Conversations Using Large Language Models
content type
paper
|
research area
Human-Computer Interaction
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Oggi Rudovic, Pranay Dighe, Yi Su, Vineet Garg, Sameer Dharur, Xiaochuan Niu, Ahmed H. Abdelaziz, Saurabh Adya, Ahmed Tewfik
Computational Bottlenecks of Training Small-Scale Large Language Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
Transfer Learning for Structured Pruning under Limited Task Data
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Lucio Dery, David Grangier, Awni Hannun
What Can CLIP Learn From Task-specific Experts?
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2024
Authors
Reza Salehi, Mehrdad Farajtabar, Max Horton, Fartash Faghri, Hadi Pour Ansari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
Bin Prediction for Better Conformal Prediction
content type
paper
|
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2024
Authors
Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Emtiyaz Khan, Eugene Ndiaye
Hybrid Model Learning for Cardiovascular Biomarkers Inference
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2024
Authors
Ortal Senouf, Jens Behrmann, Joern-Henrik Jacobsen, Pascal Frossard, Emmanuel Abbe, Antoine Wehenkel
Simulation-based Inference for Cardiovascular Models
content type
paper
|
research area
Methods and Algorithms
,
research area
Tools, Platforms, Frameworks
|
Workshop at NeurIPS
Published year
2024
Authors
Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi Cameto, Jörn-Henrik Jacobsen
Private and Personalized Histogram Estimation in a Federated Setting
content type
paper
|
research area
Methods and Algorithms
,
research area
Privacy
|
Workshop at NeurIPS
Published year
2023
Authors
Amrith Setlur*, Vitaly Feldman*, Kunal Talwar*
Bootstrap Your Own Variance
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2023
In collaboration with University of Göttingen
Authors
Polina Turishcheva*, Jason Ramapuram*, Sinead Williamson*, Dan Busbridge, Eeshan Dhekane, Russ Webb
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
Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models
content type
paper
|
research area
Speech and Natural Language Processing
|
conference
ICASSP
,
Workshop at NeurIPS
Published year
2023
Authors
Dominik Wagner*, Alex Churchill*, Siddharth Sigtia, Panos Georgiou, Matt Mirsamadi, Aarshee Mishra, Erik Marchi
Generating Molecular Conformers with Manifold Diffusion Fields
content type
paper
|
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2023
Authors
Yuyang Wang, Ahmed Elhag, Navdeep Jaitly, Josh Susskind, Miguel Angel Bautista Martin
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
content type
paper
|
research area
Computer Vision
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2023
Authors
Yuhui Zhang, Brandon McKinzie, Vaishaal Shankar, Zhe Gan, Alexander Toshev
TiC-CLIP: Continual Training of CLIP Models
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2023
Authors
Saurabh Garg, Hadi Pour Ansari, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
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
Diffusion Models as Masked Audio-Video Learners
content type
paper
|
research area
Computer Vision
|
Workshop at NeurIPS
Published year
2023
Authors
Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer
content type
paper
|
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2022
Authors
Benjamin Muller, Deepanshu, Gupta Siddharth, Patwardhan, Jean-Philippe Fauconnier, David Vandyke, Sachin Agarwal
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
content type
paper
|
research area
Human-Computer Interaction
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2022
Authors
Katherine Metcalf, Miguel Sarabia, Barry-John Theobald
Continuous Soft Pseudo-Labeling in ASR
content type
paper
|
research area
Methods and Algorithms
,
research area
Speech and Natural Language Processing
|
Workshop at NeurIPS
Published year
2022
Authors
Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
content type
paper
|
research area
Computer Vision
,
research area
Fairness
|
Workshop at NeurIPS
Published year
2022
Authors
Andrius Ovsianas, Jason Ramapuram, Dan Busbridge, Eeshan Gunesh Dhekane, Russ Webb
A Large-Scale Observational Study of the Causal Effects of a Behavioral Health Nudge
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2022
Authors
Achille Nazaret, Guillermo Sapiro
MAEEG: Masked Auto-encoder for EEG Representation Learning
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2022
Authors
Hsiang-Yun Sherry Chien, Hanlin Goh, Christopher M. Sandino, Joseph Y. Cheng
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
content type
paper
|
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2022
In collaboration with Carnegie Mellon University
Authors
Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2022
Authors
Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss and Josh Susskind
Learning Invariant Representations with Missing Data
content type
paper
|
research area
Health
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
In collaboration with New York University
Authors
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Puli, Rajesh Ranganath, Andrew C. Miller
Robust Robotic Control from Pixels Using Contrastive Recurrent State-Space Models
content type
paper
|
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
Authors
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh Susskind
Challenges of Adversarial Image Augmentations
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
Authors
Arno Blaas, Xavier Suau Cuadros, Jason Ramapuram, Luca Zappella, Nicholas Apostoloff
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
content type
paper
|
research area
Data Science and Annotation
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
Authors
Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
Authors
Tom George Grigg*, Dan Busbridge*, Jason Ramapuram, Russ Webb
Enforcing Fairness in Private Federated Learning via The Modified Method of Differential Multipliers
content type
paper
|
research area
Fairness
,
research area
Privacy
|
Workshop at NeurIPS
Published year
2021
Authors
Borja Rodríguez-Gálvez, Filip Granqvist, Rogier van Dalen, Matt Seigel
Individual Privacy Accounting via a Renyi Filter
content type
paper
|
research area
Privacy
|
Workshop at NeurIPS
Published year
2021
Authors
Vitaly Feldman, Tijana Zrnic
Stochastic Contrastive Learning
content type
paper
|
research area
Computer Vision
,
research area
Methods and Algorithms
|
Workshop at NeurIPS
Published year
2021
Authors
Jason Ramapuram*, Dan Busbridge*, Xavier Suau, Russ Webb
Representing and Denoising Wearable ECG Recordings
content type
paper
|
research area
Health
|
Workshop at NeurIPS
Published year
2020
Authors
Jeffrey Chan, Andrew C. Miller, Emily B. Fox
Research - Apple Machine Learning Research