ICLR

BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models

Xuefeng Hu, Ke Zhang, Min Sun, Albert Chen, Cheng-Hao Kuo, Ram Nevatia

Comments Preprint updated from our earlier manuscript submitted to ICLR 2024 (https://openreview.net/forum?id=KNtcoAM5Gy)

Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning

Arnav Goel, Medha Hira, Anubha Gupta

Comments 7 pages, Accepted to ICLR 2024 - Tiny Track

CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning

Medha Hira, Arnav Goel, Anubha Gupta

Comments 8 pages, Accepted at ICLR 2024 - Tiny Track

Sequential Attention for Feature Selection

Taisuke Yasuda, MohammadHossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni

Comments Accepted to ICLR 2023

Journal ref Proceedings of the 11th International Conference on Learning Representations (ICLR 2023)

Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

Junchi Yu, Ran He, Rex Ying

Comments ICLR 2024

Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps

Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens

Comments Accepted at International Conference on Learning Representations (ICLR2024); typo correction

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing

Song Xia, Yi Yu, Xudong Jiang, Henghui Ding

Comments This paper has been accepted to the International Conference on Learning Representations (ICLR), 2024

Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems

Suresh Bishnoi, Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan

Comments 33 pages, 23 figures, Published as a conference paper at ICLR 2023

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya L. Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao

Comments Accepted to International Conference on Learning Representations 2024 (ICLR 2024)

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alex Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Ruslan Salakhutdinov

Comments ICLR 2024, Code available at: https://github.com/pliang279/PID

An Evaluation Benchmark for Autoformalization in Lean4

Aryan Gulati, Devanshu Ladsaria, Shubhra Mishra, Jasdeep Sidhu, Brando Miranda

Comments To appear at ICLR 2024 as part of the Tiny Papers track

Guardrail Baselines for Unlearning in LLMs

Pratiksha Thaker, Yash Maurya, Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith

Comments Preliminary work, accepted to ICLR workshop SeT-LLM 2024

Black carbon plumes from gas flaring in North Africa identified from multi-spectral imagery with deep learning

Tuel Alexandre, Kerdreux Thomas, Thiry Louis

Comments Published at the workshop Tackling Climate Change with Machine Learning at ICLR 2024

Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations

Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim

Comments 18 pages, 8 figures, The Twelfth International Conference on Learning Representations (ICLR 2024)

On the Parameterization of Second-Order Optimization Effective Towards the Infinite Width

Satoki Ishikawa, Ryo Karakida

Comments 34 pages, ICLR 2024

On the Stability of Expressive Positional Encodings for Graphs

Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li

Comments ICLR 2024

Neural Control System for Continuous Glucose Monitoring and Maintenance

Azmine Toushik Wasi

Comments 9 Pages, 4 figures, ICLR 2024 Tiny Papers Track https://openreview.net/forum?id=Te4P3Cn54g

Journal ref The Second Tiny Papers Track at ICLR 2024

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers

Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger

Comments Published as a conference paper at ICLR 2024

Topology-aware Robust Optimization for Out-of-distribution Generalization

Fengchun Qiao, Xi Peng

Comments In ICLR 2023 (17 pages including appendix). The source code and pre-trained models are publicly available at: https://github.com/joffery/TRO

Journal ref International Conference on Learning Representations 2023

Efficient Continual Finite-Sum Minimization

Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Tadesse Dadi, Volkan Cevher

Comments Accepted in ICLR 2024, 35 pages

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang

Comments This paper has already been accepted by ICLR 2024. This version is the camera-ready version

SIMPLE: A Gradient Estimator for $k$-Subset Sampling

Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Van den Broeck

Comments ICLR 2023; fixed typo in Theorem 1

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan

Comments Published in ICLR 2024

PhoWhisper: Automatic Speech Recognition for Vietnamese

Thanh-Thien Le, Linh The Nguyen, Dat Quoc Nguyen

Comments Accepted to ICLR 2024 Tiny Papers Track

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI

Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu

Comments The Twelfth International Conference on Learning Representations

Journal ref The Twelfth International Conference on Learning Representations, 2024

Learning representations of learning representations

Rita González-Márquez, Dmitry Kobak

Journal ref DMLR workshop at ICLR 2024

Harnessing Density Ratios for Online Reinforcement Learning

Philip Amortila, Dylan J. Foster, Nan Jiang, Ayush Sekhari, Tengyang Xie

Comments ICLR 2024

Language Model Decoding as Direct Metrics Optimization

Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

Comments 33 pages, 3 figures

Journal ref The Twelfth International Conference on Learning Representations (ICLR 2024)

Unsupervised visualization of image datasets using contrastive learning

Jan Niklas Böhm, Philipp Berens, Dmitry Kobak

Comments ICLR 2023

Journal ref ICLR 2023

From $t$-SNE to UMAP with contrastive learning

Sebastian Damrich, Jan Niklas Böhm, Fred A. Hamprecht, Dmitry Kobak

Comments ICLR 2023. 44 pages, 19 figures. Code at https://github.com/hci-unihd/cl-tsne-umap and https://github.com/berenslab/contrastive-ne

Journal ref ICLR 2023