ICLR

DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability

Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekić, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf

Comments Accepted to ICLR 2023

Write and Paint: Generative Vision-Language Models are Unified Modal Learners

Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

Comments ICLR 2023

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao

Comments Accepted to ICLR 2023

Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction

Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato

Comments Accepted for publication at The Eleventh International Conference on Learning Representations (ICLR 2023); code available at: https://github.com/Wenlin-Chen/ADKF-IFT

Aligning AI With Shared Human Values

Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt

Comments ICLR 2021; the ETHICS dataset is available at https://github.com/hendrycks/ethics/

VA-DepthNet: A Variational Approach to Single Image Depth Prediction

Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool

Comments Accepted for publication at ICLR 2023 (Spotlight Oral Presentation). Draft info: 21 pages, 13 tables, 8 figures

FoSR: First-order spectral rewiring for addressing oversquashing in GNNs

Kedar Karhadkar, Pradeep Kr. Banerjee, Guido Montúfar

Comments 21 pages, accepted to ICLR 2023

Recitation-Augmented Language Models

Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou

Comments Accepted at ICLR 2023. v2 adds the Codex results

Unsupervised Manifold Alignment with Joint Multidimensional Scaling

Dexiong Chen, Bowen Fan, Carlos Oliver, Karsten Borgwardt

Comments ICLR 2023, see https://openreview.net/forum?id=lUpjsrKItz4

Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation

Ye Zhu, Yu Wu, Kyle Olszewski, Jian Ren, Sergey Tulyakov, Yan Yan

Comments ICLR 2023. Project at https://github.com/L-YeZhu/CDCD

Deep Variational Implicit Processes

Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato

Comments 19 pages, 6 figures, ICLR 2023

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon

Comments To appear at ICLR 2023. Listen to audio samples from BigVGAN at: https://bigvgan-demo.github.io/

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis

Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek, Bose

Comments ICLR 2023

Neuro-Symbolic Procedural Planning with Commonsense Prompting

Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang

Comments ICLR 2023 Spotlight

Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps

Lu Han, Han-Jia Ye, De-Chuan Zhan

Comments Accept to ICLR 2023

A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning

Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan

Comments Accepted to ICLR 2023 as a Spotlight Presentation. Code is available at: https://github.com/wangkiw/ICLR23-MEMO

Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization

Jun-Kun Wang, Andre Wibisono

Comments Accepted at ICLR (International Conference on Learning Representations), 2023

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers

Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew Watkins

Comments Submitted to the MLDD workshop, ICLR 2023

CUTS: Neural Causal Discovery from Irregular Time-Series Data

Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

Comments https://openreview.net/forum?id=UG8bQcD3Emv

Journal ref The Eleventh International Conference on Learning Representations, Feb. 2023

Advancing Radiograph Representation Learning with Masked Record Modeling

Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu

Comments Camera ready at ICLR 2023. Code and models are available at https://github.com/RL4M/MRM-pytorch

ManyDG: Many-domain Generalization for Healthcare Applications

Chaoqi Yang, M. Brandon Westover, Jimeng Sun

Comments The paper has been accepted by ICLR 2023, refer to https://openreview.net/forum?id=lcSfirnflpW. We will release the data and source codes here https://github.com/ycq091044/ManyDG

Prompting GPT-3 To Be Reliable

Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan Boyd-Graber, Lijuan Wang

Comments ICLR 2023

Is synthetic data from generative models ready for image recognition?

Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip Torr, Song Bai, Xiaojuan Qi

Comments ICLR 2023, spotlight

Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions

Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison

Comments Published at ICLR 2023

Continuous PDE Dynamics Forecasting with Implicit Neural Representations

Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

Journal ref The Eleventh International Conference on Learning Representations, International Conference on Representation Learning, May 2023, Kigali, Rwanda

Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation

Boah Kim, Yujin Oh, Jong Chul Ye

Comments Accepted at ICLR 2023

Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time

Jun-Kun Wang, Andre Wibisono

Comments Accepted at ICLR (International Conference on Learning Representations), 2023

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks

Noam Wies, Yoav Levine, Amnon Shashua

Comments ICLR 2023

EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data

Michael Crawshaw, Yajie Bao, Mingrui Liu

Comments Accepted by ICLR 2023. The code is available at https://github.com/MingruiLiu-ML-Lab/episode

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark

Danilo Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth

Comments Published in ICLR 2023