ICLR 2024 Conference Submissions

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PoisoningGuard: Provable Defense against Data Poisoning Attacks to Multi-label Classification
yanting wang, Guohao Lan, Jinyuan Jia
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
Zijun Wu, Yongkang Wu, Lili Mou
- Published: 16 Jan 2024, Last Modified: 25 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter J Liu, Lechao Xiao, Katie E Everett, Alexander A Alemi, Ben Adlam, John D Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 oral
- Readers: Everyone
Variational Quantum Linear Solver enhanced Quantum Support Vector machine
Jianming YI, Kalyani Suresh, Ali Moghiseh, Norbert Wehn
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
The Entity-Deduction Arena: A playground for probing the conversational reasoning and planning capabilities of LLMs
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Causality is Invariance Across Heterogeneous Units
Heyang Gong, Zhihua Wang, Hengshuo Miao, Yu Zhang, Yuzhou Zhang, Chaochao Lu, Wenwu Ou
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Long-distance Targeted Poisoning Attacks on Graph Neural Networks
Anqi Zhang, Aurojit Panda, Jinyang Li, Siddhartha Sen
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena
Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Selective Perception: Learning Concise State Descriptions for Language Model Actors
Kolby Nottingham, Yasaman Razeghi, Kyungmin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Generalized Schrödinger Bridge Matching
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos Theodorou, Ricky T. Q. Chen
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Persistent homology for high-dimensional data based on spectral methods
Sebastian Damrich, Philipp Berens, Dmitry Kobak
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Time Series Anomaly Detection using Reconstruction and RBF Similarity Scores
Ramin Ghorbani, Marcel Reinders, David Tax
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
- Published: 16 Jan 2024, Last Modified: 13 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
A General Framework for User-Guided Bayesian Optimization
Carl Hvarfner, Frank Hutter, Luigi Nardi
- Published: 16 Jan 2024, Last Modified: 19 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Efficient and Quantization-Friendly Ternary Fourier Convolution Algorithms
Liulu He, Li Du, Yuan Du
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
Blake Bordelon, Lorenzo Noci, Mufan Bill Li, Boris Hanin, Cengiz Pehlevan
- Published: 16 Jan 2024, Last Modified: 06 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Learning Concept-Based Visual Causal Transition and Symbolic Reasoning for Visual Planning
Yilue Qian, Peiyu Yu, Ying Nian Wu, Wei Wang, Lifeng Fan
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
CRAFT: Cross-Representation modeling on Audio waveForms and specTrograms
Hanlin Lu, Jianbo Yuan, Xinyu Li
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Is Scale All You Need For Anomaly Detection?
Tal Reiss, Niv Cohen, Yedid Hoshen
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
High-Dimensional Safe Exploration via Optimistic Local Latent Safe Optimization
Yunyue Wei, Zeji Yi, Hongda Li, Saraswati Soedarmadji, Yanan Sui
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?
Luísa Shimabucoro, Yongshuo Zong, Timothy Hospedales, Henry Gouk
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
ELEGANT: Certified Defense on the Fairness of Graph Neural Networks
Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone