NeurIPS

Learning to Price Homogeneous Data

Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy

Comments The Thirty-Eighth Annual Conference on Neural Information Processing (NeurIPS 2024)

DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs

Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying

Comments 28 pages, 13 figures, camera-ready version for NeurIPS 2024 Datasets and Benchmarks Track

BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval

Imanol Miranda, Ander Salaberria, Eneko Agirre, Gorka Azkune

Comments Accepted to NeurIPS 24 Datasets and Benchmarks Track; Project page at: https://imirandam.github.io/BiVLC_project_page/

A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma

Comments Accepted at the Datasets and Benchmarks track of NeurIPS 2024

Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov

Comments Camera-ready version, NeurIPS 2024 (Oral)

Fast yet Safe: Early-Exiting with Risk Control

Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

Comments 27 pages, 13 figures, 4 tables (incl. appendix)

Journal ref Advances in Neural Information Processing Systems (NeurIPS) 2024

fMRI predictors based on language models of increasing complexity recover brain left lateralization

Laurent Bonnasse-Gahot, Christophe Pallier

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

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao

Comments Accepted by NeurIPS 2024 (Camera-Ready Version). Project Page: https://hyper-sd.github.io/

Online Adaptation of Language Models with a Memory of Amortized Contexts

Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz

Comments Published as a conference proceeding for NeurIPS 2024

Model Pairing Using Embedding Translation for Backdoor Attack Detection on Open-Set Classification Tasks

Alexander Unnervik, Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel

Comments Accepted in NeurIPS 2024 Safe Generative AI Workshop (oral presentation)

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio P. Calmon, Himabindu Lakkaraju

Comments 25 pages, 15 figures, NeurIPS 2024. Code is provided at https://github.com/AI4LIFE-GROUP/SpLiCE

Consistency Models for Scalable and Fast Simulation-Based Inference

Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T Radev

Journal ref Neural Information Processing Systems (NeurIPS 2024)

Can Language Models Learn to Skip Steps?

Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang

Comments Accepted by NeurIPS 2024

KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension

Jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Ruimao Zhang

Comments NeurIPS 2024

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer

Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

Comments NeurIPS 2024

OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning

Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang

Comments NeurIPS 2024 camera-ready (10 pages, 4 figures) with the appendices (10 pages, 7 figures)

Risk-sensitive control as inference with Rényi divergence

Kaito Ito, Kenji Kashima

Comments Accepted at NeurIPS 2024

MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence

Fuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang, Zhou Zhao

Comments NeurIPS 2024

Expanding Sparse Tuning for Low Memory Usage

Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang

Comments Accepted by NeurIPS 2024

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models

Junjiao Tian, Chengyue Huang, Zsolt Kira

Comments Accepted to Neurips 2024

One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

Zhenyu Wang, Yali Li, Hengshuang Zhao, Shengjin Wang

Comments NeurIPS 2024

Conditional Controllable Image Fusion

Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu

Comments Accepted by NeurIPS 2024

FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing

Jitesh Joshi, Sos S. Agaian, Youngjun Cho

Comments Accepted at NeurIPS, 2024

Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli

Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

Comments Accepted at NeurIPS 2024

Adaptive Domain Learning for Cross-domain Image Denoising

Zian Qian, Chenyang Qi, Ka Lung Law, Hao Fu, Chenyang Lei, Qifeng Chen

Comments 13 pages, 3 figures, accepted by neurips 2024

PageRank Bandits for Link Prediction

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

Comments Accepted to NeurIPS 2024

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity

Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

Comments Accepted at NeurIPS 2024 Workshop Adaptive Foundation Models

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime

Lasse Vuursteen

Comments To appear in the Thirty-eight Conference on Neural Information Processing Systems -- 10 page article + 20 pages appendix and references

Hierarchical and Density-based Causal Clustering

Kwangho Kim, Jisu Kim, Larry A. Wasserman, Edward H. Kennedy

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

Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame

Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould

Comments Accepted to NeurIPS 2024