NeurIPS

Infinite-Dimensional Feature Interaction

Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen

Comments NeurIPS 2024

TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment

Wei Li, Hehe Fan, Yongkang Wong, Mohan Kankanhalli, Yi Yang

Comments NeurIPS 2024 (Spotlight)

FIFO-Diffusion: Generating Infinite Videos from Text without Training

Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han

Comments Project Page: https://jjihwan.github.io/projects/FIFO-Diffusion

Journal ref NeurIPS 2024

Spectral Editing of Activations for Large Language Model Alignment

Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen

Comments 24 pages, NeurIPS 2024

Assemblage: Automatic Binary Dataset Construction for Machine Learning

Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher Micinski

Comments To appear in the 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks

Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes

Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang

Comments 39 pages, 2 figures, NeurIPS 2024

SyncTweedies: A General Generative Framework Based on Synchronized Diffusions

Jaihoon Kim, Juil Koo, Kyeongmin Yeo, Minhyuk Sung

Comments Project page: https://synctweedies.github.io/ (NeurIPS 2024)

A Sober Look at the Robustness of CLIPs to Spurious Features

Qizhou Wang, Yong Lin, Yongqiang Chen, Ludwig Schmidt, Bo Han, Tong Zhang

Comments NeurIPS 2024; Qizhou Wang, Yong Lin, and Yongqiang Chen contributed equally; Project page: https://counteranimal.github.io

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li

Comments NeurIPS 2024 Camera-ready Version. Code: https://github.com/icip-cas/SelfRetrieval

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

Journal ref 38th Conf. on Neural Information Processing Systems (NeurIPS 2024)

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, Igor Gitman

Comments Camera-ready version for NeurIPS 2024

Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model

Mark Rowland, Li Kevin Wenliang, Rémi Munos, Clare Lyle, Yunhao Tang, Will Dabney

Comments NeurIPS 2024

Constrained Synthesis with Projected Diffusion Models

Jacob K Christopher, Stephen Baek, Ferdinando Fioretto

Comments Published at the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Aligner: Efficient Alignment by Learning to Correct

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Tianyi Qiu, Yaodong Yang

Comments Accepted by NeurIPS 2024 Oral Presentation

Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds

Pengyu Chen, Xu Shi, Rujun Jiang, Jiulin Wang

Comments Accepted by NeurIPS 2024

Query-Efficient Correlation Clustering with Noisy Oracle

Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

Comments Accepted to NeurIPS 2024

Persistent Test-time Adaptation in Recurring Testing Scenarios

Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do

Comments Accepted to the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

A polar prediction model for learning to represent visual transformations

Pierre-Étienne H. Fiquet, Eero P. Simoncelli

Journal ref Adv. Neural Information Processing Systems (NeurIPS), vol.37 Dec 2023

Adaptive Denoising via GainTuning

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda

Journal ref Adv. Neural Information Processing Systems (NeurIPS), vol.35 Dec 2021

Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Zahra Kadkhodaie, Eero P. Simoncelli

Comments 19 pages, 12 figures. Changes: more detailed description of relationships to previous literature, including empirical comparisons for super-resolution, debarring, and compressive sensing

Journal ref updated version published in Proc. Neural Information Processing Systems (NeurIPS) 2021

Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models

Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho

Comments NeurIPS 2024

Zipfian Whitening

Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira

Comments NeurIPS 2024

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding

Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, Xuequan Lu

Comments Accepted to NeurIPS 2024

Small coresets via negative dependence: DPPs, linear statistics, and concentration

Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang-Son Tran

Comments Accepted at NeurIPS 2024 (Spotlight Paper). Authors are listed in alphabetical order

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation

Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu

Comments Published in NeurIPS 2024: Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu. Provably and practically efficient adversarial imitation learning with general function approximation. In: Advances in Neural Information Processing Systems 38 (NeurIPS'24), Vancouver, Canada, 2024

pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization

Matthew C. Bendel, Rizwan Ahmad, Philip Schniter

Comments To appear at NeurIPS 2024

Improving self-training under distribution shifts via anchored confidence with theoretical guarantees

Taejong Joo, Diego Klabjan

Comments NeurIPS 2024

Is Multiple Object Tracking a Matter of Specialization?

Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara

Comments NeurIPS 2024

Conditional Synthesis of 3D Molecules with Time Correction Sampler

Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin

Comments NeurIPS 2024

SelfCodeAlign: Self-Alignment for Code Generation

Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang

Comments Accepted to NeurIPS 2024