NeurIPS 2024 Conference Submissions

LORA-MOO: Learning Ordinal Relations and Angles for Expensive Many-Objective Optimization
Xunzhao Yu, Miqing Li
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Multi-Label Learning with Stronger Consistency Guarantees
Anqi Mao, Mehryar Mohri, Yutao Zhong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
- Published: 25 Sept 2024, Last Modified: 17 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui, Myriam Tami, BENOIT LEPETIT, Paul-Henry Cournède
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Shared Autonomy with IDA: Interventional Diffusion Assistance
Brandon J McMahan, Zhenghao Peng, Bolei Zhou, Jonathan Kao
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
BERTs are Generative In-Context Learners
David Samuel
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
- Published: 25 Sept 2024, Last Modified: 20 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Time-Reversal Provides Unsupervised Feedback to LLMs
Yerram Varun, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
- Published: 25 Sept 2024, Last Modified: 28 Dec 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
- Published: 25 Sept 2024, Last Modified: 23 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Understanding Visual Feature Reliance through the Lens of Complexity
Thomas FEL, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine Hermann
- Published: 25 Sept 2024, Last Modified: 14 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Debiasing Synthetic Data Generated by Deep Generative Models
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Johan Decruyenaere, Christiaan Polet, Thomas Demeester, Stijn Vansteelandt
- Published: 25 Sept 2024, Last Modified: 17 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Asynchronous Multi-Agent Reinforcement Learning with General Function Approximation
Yuanzhou Chen, Jiafan He, Quanquan Gu
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Learning Place Cell Representations and Context-Dependent Remapping
Markus Pettersen, Frederik Rogge, Mikkel Elle Lepperød
- Published: 25 Sept 2024, Last Modified: 13 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez
- Published: 25 Sept 2024, Last Modified: 18 Dec 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. Gonzalez, Elizabeth Polgreen, Sanjit A. Seshia
- Published: 25 Sept 2024, Last Modified: 23 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
Ouail Kitouni, Niklas Nolte, Adina Williams, Michael Rabbat, Diane Bouchacourt, Mark Ibrahim
- Published: 25 Sept 2024, Last Modified: 14 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao, Mehryar Mohri, Yutao Zhong
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Flexible task abstractions emerge in linear networks with fast and bounded units
Kai Jappe Sandbrink, Jan Philipp Bauer, Alexandra Maria Proca, Andrew M Saxe, Christopher Summerfield, Ali Hummos
- Published: 25 Sept 2024, Last Modified: 15 Jan 2025
- NeurIPS 2024 spotlight
- Readers: Everyone
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszár
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Testing Semantic Importance via Betting
Jacopo Teneggi, Jeremias Sulam
- Published: 25 Sept 2024, Last Modified: 16 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Provable Tempered Overfitting of Minimal Nets and Typical Nets
Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro, Daniel Soudry
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Solving Inverse Problems via Diffusion Optimal Control
Henry Li, Marcus Aloysius Pereira
- Published: 25 Sept 2024, Last Modified: 21 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone