ICLR

Let Models Speak Ciphers: Multiagent Debate through Embeddings

Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang

Comments Accepted to ICLR 2024

Convolutional Deep Kernel Machines

Edward Milsom, Ben Anson, Laurence Aitchison

Comments ICLR 2024 Camera Ready Version

Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning

Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. -H. Ngai

Comments ICLR 2024. 29 pages. Source codes: https://github.com/ChanYunHin/InCo-Aggregation

Flow Matching on General Geometries

Ricky T. Q. Chen, Yaron Lipman

Journal ref ICLR 2024

Don't Play Favorites: Minority Guidance for Diffusion Models

Soobin Um, Suhyeon Lee, Jong Chul Ye

Comments ICLR 2024

Localized Randomized Smoothing for Collective Robustness Certification

Jan Schuchardt, Tom Wollschläger, Aleksandar Bojchevski, Stephan Günnemann

Comments Accepted at ICLR 2023

Scaling the Convex Barrier with Sparse Dual Algorithms

Alessandro De Palma, Harkirat Singh Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar

Comments Journal of Machine Learning Research, 2024 (extension of ICLR 2021 paper in [v1])

Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech

Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang

Comments Published as a conference paper at ICLR 2024

Deep Neural Network Initialization with Sparsity Inducing Activations

Ilan Price, Nicholas Daultry Ball, Samuel C. H. Lam, Adam C. Jones, Jared Tanner

Comments Published in the International Conference on Learning Representations (ICLR) 2024

Frustratingly Simple Prompting-based Text Denoising

Jungyeul Park, Mengyang Qiu

Comments Published as a Tiny Paper at ICLR 2024

A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data

Saptarshi Chakraborty, Peter L. Bartlett

Comments In the twelfth International Conference on Learning Representations (ICLR'24)

Function Vectors in Large Language Models

Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau

Comments ICLR 2024. 52 pages, 30 figures, 23 tables. Code and data at https://functions.baulab.info

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization

Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z Luo, Yurong You, Mark Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao

Comments Accepted to ICLR 2024

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts

Hanan Gani, Shariq Farooq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka

Comments Accepted at ICLR 2024

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

Yuxin Zhang, Lirui Zhao, Mingbao Lin, Yunyun Sun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

Comments Published as a conference paper at ICLR 2024

GeoLLM: Extracting Geospatial Knowledge from Large Language Models

Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David Lobell, Stefano Ermon

Comments Accepted to ICLR 2024

Label-free Node Classification on Graphs with Large Language Models (LLMS)

Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang

Comments The code is available via https://github.com/CurryTang/LLMGNN; ICLR 2024

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

Hyeonho Jeong, Jong Chul Ye

Comments Accepted to ICLR 2024, Project Page: http://ground-a-video.github.io

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan

Comments Accepted by ICLR 2024

Order-Preserving GFlowNets

Yihang Chen, Lukas Mauch

Comments ICLR 2024

Transformer-VQ: Linear-Time Transformers via Vector Quantization

Lucas D. Lingle

Comments ICLR 2024 camera-ready

Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts

Huy Nguyen, Pedram Akbarian, Fanqi Yan, Nhat Ho

Comments Accepted to ICLR 2024, 38 pages, 3 figures, 1 table

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust

Comments Accepted to ICLR 2024 (Oral)

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei

Comments Accepted by ICLR 2024

Feature-aligned N-BEATS with Sinkhorn divergence

Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park

Comments Spotlight at ICLR 2024

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen

Comments Accepted at ICLR 2024

Journal ref ICLR 2024

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur

Comments Accepted to ICLR 2024. Website: https://sites.google.com/view/mm-webnav/

Domain Generalization In Robust Invariant Representation

Gauri Gupta, Ritvik Kapila, Keshav Gupta, Ramesh Raskar

Comments 7 pages, 5 figures, ICLR 2023 workshop

Xformer: Hybrid X-Shaped Transformer for Image Denoising

Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang

Comments Accepted to ICLR 2024. Code and models are available at https://github.com/gladzhang/Xformer

Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributions

Frank Cole, Yulong Lu

Comments 33 pages, to appear in the proceedings of 12th International Conference on Learning Representations