ICLR 2024 Conference Submissions

Provably Robust Cost-Sensitive Learning via Randomized Smoothing
Yuan Xin, Michael Backes, Xiao Zhang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ALIN: An Active Learning Framework for Incomplete Networks
Tung Khong, Cong Tran, Cuong Pham
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Desk Rejected Submission
- Readers: Everyone
Learning Energy Decompositions for Partial Inference in GFlowNets
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang
- Published: 16 Jan 2024, Last Modified: 17 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
KLIP: Keyword-Guided Language-Image Pretraining for Data-Efficient Domain-Specific Image Captioning
Chi-Pin Huang, Kai-Po Chang, Fu-En Yang, Chung-Ting Tsai, Yung-Hsuan Lai, Yu-Chiang Frank Wang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
S\(^{2}\)-DMs: Skip-Step Diffusion Models
Yixuan Wang, Shuangyin Li
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations
Jinsung Jeon, Noseong Park
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Calibration Bottleneck: What Makes Neural Networks less Calibratable?
Deng-Bao Wang, Min-Ling Zhang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Heterogeneity of Regularization between adjacent periods
SangHwa Hong, Bongseok Kim, Min Kyu Sim
- 21 Sept 2023 (modified: 14 Jun 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
ZEST: ZEROSHOT SPARSE FINE-TUNING
Jiashu Han, Ligeng Zhu, Song Han
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Ivan Butakov, Alexander Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov, Kirill Andreev
- Published: 16 Jan 2024, Last Modified: 14 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Why not both? Combining Bellman losses in deep reinforcement learning
Riad Akrour
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Query Efficient Black-Box Adversarial Attack with Automatic Region Selection
YANMENG YAO, Wanli Shi, Ziwei Wu, Hualin Zhang, William de Vazelhes, Yajing Fan, Huan Xiong, Yi Chang, Bin Gu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
LIFT: Efficient Layer-wise Fine-tuning for Large Model Models
Ligeng Zhu, Lanxiang Hu, Ji Lin, Song Han
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
Ian Gemp, Luke Marris, Georgios Piliouras
- Published: 16 Jan 2024, Last Modified: 12 Apr 2024
- ICLR 2024 oral
- Readers: Everyone
Just-in-Time Security Patch Detection - LLM At the Rescue for Data Augmentation
Xunzhu Tang, Zhenghan Chen, KISUB KIM, Haoye Tian, Saad Ezzini, Jacques Klein, Tegawendé F. Bissyandé
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka, Ivan Karpukhin, Maksim Zhdanov, Sergey Kolesnikov
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Fair Off-Policy Learning from Observational Data
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Privacy-Preserving Data Quality Evaluation in Federated Learning Using Influence Approximation
Ljubomir Rokvic, Panayiotis Danassis, Boi Faltings
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Optimization Dynamics of Equivariant and Augmented Neural Networks
Axel Flinth, Fredrik Ohlsson
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
SMAAT: Scalable Manifold-Aware Adversarial Training for Large Language Models
Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
SPFNO: spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions
Ziyuan Liu, Yuhang Wu, Hong Zhang, Xu Qian, Songhe Song
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang, Yiwen Guo, Qizhang Li, Guanglei Yang, Wangmeng Zuo
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Universal Sleep Decoder: Aligning awake and sleep neural representation across subjects
Hui Zheng, Zhongtao Chen, Haiteng Wang, Jianyang Zhou, Lin Zheng, Yunzhe Liu
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Continual Contrastive Spoken Language Understanding
Umberto Cappellazzo, Enrico Fini, Muqiao Yang, Daniele Falavigna, Alessio Brutti, Bhiksha Raj
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone