ICLR 2024 Conference Submissions

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Yaowu Chen, Jieping Ye
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Neural Translation of Input Specifications into Formal Grammars for Test Case Generation
Sicheol Sung, Aditi, Dogyu Kim, Yo-Sub Han, Sang-Ki Ko
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Memory-Efficient Backpropagation through Large Linear Layers
Daniel Bershatsky, Aleksandr Mikhalev, Aleksandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan Oseledets
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Supervised Anomaly Detection
Akira Ito, Atsutoshi Kumagai
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
$\texttt{PREMIER-TACO}$ is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Shuang Ma, Hal Daumé III, Huazhe Xu, John Langford, Praveen Palanisamy, Kalyan Shankar Basu, Furong Huang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
A Multi-Level Framework for Accelerating Training Transformer Models
Longwei Zou, Han Zhang, Yangdong Deng
- Published: 16 Jan 2024, Last Modified: 07 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Stealthy Imitation: Reward-guided Environment-free Policy Stealing
Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Incremental Successive Halving for Hyperparameter Optimization with Budget Constraints
Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
AV-PEA: PARAMETER-EFFICIENT ADAPTER FOR AUDIO-VISUAL MULTIMODAL LEARNING
Abduljalil Radman, Jorma Laaksonen
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
RODEO: Robust Out-of-Distribution Detection Via Exposing Adaptive Outliers
Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
HAICO-CN: Human-AI Collaboration By Cluster-wise Noisy-Label Augmentation
Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Online Information Acquisition: Hiring Multiple Agents
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai, Ran Yan, Zhe Huang, Youjia Yang, Yan Pang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Planning with Theory of Mind for Few-Shot Adaptation in Sequential Social Dilemmas
Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
M$^4$LE: A Multi-Ability Multi-Range Long Context Evaluation Benchmark for Large Language Models
Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Learning Multi-Faceted Prototypical User Interests
Nhu-Thuat Tran, Hady W. Lauw
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Detection and Segmentation of Solar Farms in Satellite Imagery: A Study of Deep Neural Network Architectures
Erling Olweus, Ole Jakob Mengshoel
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
Shaojie Li, Bowei Zhu, Yong Liu
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LMEye: An Interactive Perception Network for Large Language Models
yunxin li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min zhang
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen Marcus McAleer
- Published: 16 Jan 2024, Last Modified: 09 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Bandits with Replenishable Knapsacks: the Best of both Worlds
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Autonomous Catheterization with Open-source Simulator and Expert Trajectory
Tudor Jianu, Baoru Huang, Tuan Van Vo, Minh Nhat VU, Jingxuan Kang, Hoan Cong Nguyen, Olatunji Mumini Omisore, Pierre Berthet-rayne, Sebastiano Fichera, Anh Nguyen
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Tall Tales at Different Scales: Evaluating Scaling Trends For Deception in Language Models
Francis Rhys Ward, Felix Hofstätter, Louis Alexander Thomson, Harriet Mary Wood, Oliver Jaffe, Patrik Bartak, Samuel F. Brown
- 22 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Multi-Label Generalized Zero Shot Chest Xray Classification Using Feature Disentanglement and Multi-Modal Dictionaries
Dwarikanath Mahapatra
- 22 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone