NeurIPS

Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty

Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick

Comments 37 pages, 3 figures, to appear in NeurIPS 2024

Extracting Unlearned Information from LLMs with Activation Steering

Atakan Seyitoğlu, Aleksei Kuvshinov, Leo Schwinn, Stephan Günnemann

Comments Accepted at NeurIPS 2024 Workshop Safe Generative AI

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang

Comments Accepted at: NeurIPS 2024 | Project Page: https://tripletclip.github.io

Pretrained transformer efficiently learns low-dimensional target functions in-context

Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu

Comments NeurIPS 2024

Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks

Yurii Kvasiuk, Jordan Krywonos, Matthew C. Johnson, Moritz Münchmeyer

Comments 5+5 pages, 6 figures. Contribution to ml4ps workshop at NeurIPS-2024

Behavioral Sequence Modeling with Ensemble Learning

Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso

Journal ref NeurIPS 2024, Workshop on Behavioral Machine Learning

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

Comments Accepted by NeurIPS 2024

Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving

Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva, Adeela Islam, Gur Elkin, Ofir Itzhak Shahar, Gianluca Scarpellini, Stefano Fiorini, Yaniv Ohayon, Nadav Alali, Sinem Aslan, Pietro Morerio, Sebastiano Vascon, Elena Gravina, Maria Cristina Napolitano, Giuseppe Scarpati, Gabriel Zuchtriegel, Alexandra Spühler, Michel E. Fuchs, Stuart James, Ohad Ben-Shahar, Marcello Pelillo, Alessio Del Bue

Comments NeurIPS 2024, Track Datasets and Benchmarks, 10 pages

From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents

Nalin Tiwary, Vardhan Dongre, Sanil Arun Chawla, Ashwin Lamani, Dilek Hakkani-Tür

Comments 10 pages, 3 figures, 5 tables

Journal ref NeurIPS 2024 Workshop on Open-World Agents

Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks

Alba Carballo-Castro, Sonia Laguna, Moritz Vandenhirtz, Julia E. Vogt

Comments Interpretable AI: Past, Present and Future Workshop at NeurIPS 2024

Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective

Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang

Comments Accepted by NeurIPS 2024

DeBaRA: Denoising-Based 3D Room Arrangement Generation

Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov

Comments NeurIPS 2024

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing

Ana Nunez, Nafis Tanveer Islam, Sumit Kumar Jha, Peyman Najafirad

Comments Accepted to NeurIPS 2024 Workshop on Safe & Trustworthy Agents

Randomized Strategic Facility Location with Predictions

Eric Balkanski, Vasilis Gkatzelis, Golnoosh Shahkarami

Comments This paper will appear in NeurIPS 2024

Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering

Yushi Yang, Andrew M. Bean, Robert McCraith, Adam Mahdi

Comments NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML)

Piecewise deterministic generative models

Andrea Bertazzi, Dario Shariatian, Umut Simsekli, Eric Moulines, Alain Durmus

Comments NeurIPS 2024

OxonFair: A Flexible Toolkit for Algorithmic Fairness

Eoin Delaney, Zihao Fu, Sandra Wachter, Brent Mittelstadt, Chris Russell

Comments Accepted at NeurIPS 2024

Understanding Transformers via N-gram Statistics

Timothy Nguyen

Comments NeurIPS 2024. Datasets and N-gram statistics open-sourced: https://github.com/google-deepmind/transformer_ngrams

Learning Formal Mathematics From Intrinsic Motivation

Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman

Comments NeurIPS 2024 Oral

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

Comments Accepted to NeurIPS 2024

SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation

Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen

Comments Accepted by NeurIPS 2024. Project page is live at https://SeTAR-OOD.github.io. Code are available at https://github.com/X1AOX1A/SeTAR

DenoiseRep: Denoising Model for Representation Learning

Zhengrui Xu, Guan'an Wang, Xiaowen Huang, Jitao Sang

Comments Accepted by NeurIPS 2024 (Oral)

PaCE: Parsimonious Concept Engineering for Large Language Models

Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal

Comments Accepted in NeurIPS 2024. GitHub repository at https://github.com/peterljq/Parsimonious-Concept-Engineering

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, Bradley Knox, Chelsea Finn, Scott Niekum

Comments 30 pages, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation

Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger

Comments Accepted by NeurIPS 2024

How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks

Mo Zhou, Rong Ge

Comments NeurIPS 2024 camera ready version

Recurrent neural networks: vanishing and exploding gradients are not the end of the story

Nicolas Zucchet, Antonio Orvieto

Comments Paper accepted to NeurIPS 2024

Blind Image Restoration via Fast Diffusion Inversion

Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro

Comments Accepted to Neurips 2024

Aligning to Thousands of Preferences via System Message Generalization

Seongyun Lee, Sue Hyun Park, Seungone Kim, Minjoon Seo

Comments Accepted to NeurIPS 2024

Dimension-free deterministic equivalents and scaling laws for random feature regression

Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz

Comments NeurIPS 2024 camera-ready version