ICLR 2024 Conference Submissions

Adaptive Invariant Representation Learning for Non-stationary Domain Generalization
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Supermodular Rank: Set Function Decomposition and Optimization
Rishi Sonthalia, Anna Seigal, Guido Montufar
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas P Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel
- Published: 16 Jan 2024, Last Modified: 12 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Spectral Neural Networks: Approximation Theory and Optimization Landscape
Chenghui Li, Rishi Sonthalia, Nicolas Garcia Trillos
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GenBot: Generative Simulation Empowers Automated Robotic Skill Learning at Scale
Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Zackory Erickson, David Held, Chuang Gan
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gabor Csanyi, Sri Karlapati, Vikram Deshpande
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Time-sensitive Weight Averaging for Practical Temporal Domain Generalization
Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Ser-Nam Lim, Bryan A. Plummer
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Large Language Model Routing with Benchmark Datasets
Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Making Predictors More Reliable with Selective Recalibration
Thomas P Zollo, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Adaptive Federated Learning with Auto-Tuned Clients
Junhyung Lyle Kim, Taha Toghani, Cesar A Uribe, Anastasios Kyrillidis
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
ToolDec: Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding
Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou, Chenlin Meng, Stefano Ermon
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
Vaidehi Patil, Peter Hase, Mohit Bansal
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Learning to reason iteratively and parallelly for complex visual reasoning
Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Capacity Analysis of Vector Symbolic Architectures
Kenneth L. Clarkson, Shashanka Ubaru, Elizabeth Yang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Saliency-Guided Hidden Associative Replay for Continual Learning
Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Measuring Feature Sparsity in Language Models
Mingyang Deng, Lucas Tao, Joe Benton
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
($\texttt{PASS}$) Visual Prompt Locates Good Structure Sparisty through a Recurent HyperNetwork
Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Neural-preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
If there is no underfitting, there is no Cold Posterior Effect
Yijie Zhang, Yi-Shan Wu, Luis A. Ortega, Andres R Masegosa
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
On the Inadequacy of Similarity-based Privacy Metrics: Reconstruction Attacks against ``Truly Anonymous Synthetic Data''
Georgi Ganev, Emiliano De Cristofaro
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Weighted Risk Invariance for Density-Aware Domain Generalization
Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Towards Explainable and Efficient Multi-Modality Learning: Domain-Agnostic Concept Space Paired with Domain-Specific Projection Models
Yuchong Geng, Ao Tang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone