ICLR 2024 Conference Submissions

Certified Copy: A Resistant Backdoor Attack
Omid Rajabi Rostami, Rui Ning, Chunsheng Xin, Jin-Hee Cho, Jiang Li, Hongyi Wu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories
Travers Rhodes, Daniel Lee
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, Chi Wang
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment
Jixiang Hong, Quan Tu, Changyu Chen, Gao Xing, Ji Zhang, Rui Yan
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Jointly-Learned Exit and Inference for a Dynamic Neural Network
florence regol, Joud Chataoui, Mark Coates
- Published: 16 Jan 2024, Last Modified: 18 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Confidential-DPproof: Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
- Published: 16 Jan 2024, Last Modified: 11 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Understanding of Server-Assisted Federated Learning with Incomplete Client Participation
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Matthew Tecot, Cho-Jui Hsieh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Enhancing Group Fairness in Federated Learning through Personalization
Yifan Yang, Ali Payani, Parinaz Naghizadeh
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Fusion Token: Enhancing Compression and Efficiency in Language Model Tokenization
Robert Kwiatkowski, Zijian Wang, Robert Giaquinto, Varun Kumar, Xiaofei Ma, Bing Xiang, Ben Athiwaratkun
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy, Stefano Ermon
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Layer-wise linear mode connectivity
Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
- Published: 16 Jan 2024, Last Modified: 19 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Understanding Certified Training with Interval Bound Propagation
Yuhao Mao, Mark Niklas Mueller, Marc Fischer, Martin Vechev
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
Joey Hong, Anca Dragan, Sergey Levine
- Published: 16 Jan 2024, Last Modified: 16 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations
Joey Hong, Sergey Levine, Anca Dragan
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
Jianfei Gao, Yangze Zhou, Jincheng Zhou, Bruno Ribeiro
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Exploring the Edge of Stability: Insights from a Fine-Grained Analysis of Gradient Descent in Shallow ReLU Networks
Junghwan Kim, Michelle YoungJin Kim, Barzan Mozafari
- 23 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Topoformer: brain-like topographic organization in Transformer language models through spatial querying and reweighting
Taha Osama A Binhuraib, Greta Tuckute, Nicholas Blauch
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Giovanni De Felice, Andrea Cini, Daniele Zambon, Vladimir Gusev, Cesare Alippi
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
DS-Prover: A Dynamic Sampling Based Approach for Neural Theorem Proving
Rahul Vishwakarma, Subhankar Mishra
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bezenac
- Published: 16 Jan 2024, Last Modified: 14 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
M-BioBERTa: Modular RoBERTa-based Model for Biobank-scale Unified Representations
Mátyás Antal, Márk Marosi, Tamás Nagy, Gabriella Juhász, Peter Antal
- 23 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone