NeurIPS 2023 Conference Submissions

RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh Anand Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
Fatih Dinc, Adam Shai, Mark Schnitzer, Hidenori Tanaka
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching-Hua Lee, Yilin Shen, Hongxia Jin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SE(3) Equivariant Augmented Coupling Flows
Laurence Illing Midgley, Vincent Stimper, Javier Antoran, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models
Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang, Ashok Cutkosky, Ioannis Paschalidis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning
Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Bridging RL Theory and Practice with the Effective Horizon
Cassidy Laidlaw, Stuart Russell, Anca Dragan
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 oral
- Readers: Everyone
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Tolga Ergen, Mert Pilanci
- Published: 21 Sept 2023, Last Modified: 11 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Alireza Fathollah Pour, Hassan Ashtiani
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise
Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Meek Separators and Their Applications in Targeted Causal Discovery
Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Students Parrot Their Teachers: Membership Inference on Model Distillation
Matthew Jagielski, Milad Nasr, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini, Florian Tramèr
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
The Crucial Role of Normalization in Sharpness-Aware Minimization
Yan Dai, Kwangjun Ahn, Suvrit Sra
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Causal Imitability Under Context-Specific Independence Relations
Fateme Jamshidi, Sina Akbari, Negar Kiyavash
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Identifiability Guarantees for Causal Disentanglement from Soft Interventions
Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler
- Published: 21 Sept 2023, Last Modified: 12 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Self-Refine: Iterative Refinement with Self-Feedback
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Anonymous and Copy-Robust Delegations for Liquid Democracy
Markus Utke, Ulrike Schmidt-Kraepelin
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Boosting with Tempered Exponential Measures
Richard Nock, Ehsan Amid, Manfred K Warmuth
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
Yifan Yang, Peiyao Xiao, Kaiyi Ji
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
TART: A plug-and-play Transformer module for task-agnostic reasoning
Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Re
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Kaiyi Ji
- Published: 21 Sept 2023, Last Modified: 27 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Kevin Ellis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
Hui Yuan, Kaixuan Huang, Chengzhuo Ni, Minshuo Chen, Mengdi Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone