ICLR

LDMIC: Learning-based Distributed Multi-view Image Coding

Xinjie Zhang, Jiawei Shao, Jun Zhang

Comments Accepted by ICLR 2023

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors

Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang

Comments ICLR 2023

Contrastive Audio-Visual Masked Autoencoder

Yuan Gong, Andrew Rouditchenko, Alexander H. Liu, David Harwath, Leonid Karlinsky, Hilde Kuehne, James Glass

Comments Accepted at ICLR 2023 as a notable top 25% paper. Code and pretrained models are at https://github.com/yuangongnd/cav-mae

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal

Comments ICLR'23 Camera Ready

CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs

Konstantin Hemker, Zohreh Shams, Mateja Jamnik

Comments Accepted at ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare

Human-machine cooperation for semantic feature listing

Kushin Mukherjee, Siddharth Suresh, Timothy T. Rogers

Comments To be published in the ICLR TinyPaper track

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets

Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green

Comments ICLR 2023 Workshop on Pitfalls of Limited Data and Computation for Trustworthy ML

Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Alex Damian, Eshaan Nichani, Jason D. Lee

Comments ICLR 2023, first two authors contributed equally

UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts

Pratinav Seth, Mihir Agarwal

Comments Accepted at Tiny Papers @ ICLR 2023

Polygonizer: An auto-regressive building delineator

Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen

Comments ICLR 2023 Workshop on Machine Learning in Remote Sensing

MphayaNER: Named Entity Recognition for Tshivenda

Rendani Mbuvha, David I. Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala

Comments Accepted at AfricaNLP Workshop at ICLR 2023

DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models

Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stärk, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola

Comments ICLR Machine Learning for Drug Discovery (MLDD) Workshop 2023

ChiroDiff: Modelling chirographic data with Diffusion Models

Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

Comments Accepted at ICLR '23

Secure Federated Learning against Model Poisoning Attacks via Client Filtering

Duygu Nur Yaldiz, Tuo Zhang, Salman Avestimehr

Journal ref ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning

Predicting Density of States via Multi-modal Transformer

Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

Comments ICLR 2023 Workshop on Machine Learning for Materials (ML4Materials)

Delving into Semantic Scale Imbalance

Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu

Comments 47 pages, 26 figures, 12 tables, Published as a conference paper at ICLR 2023

A Theoretical Study of Inductive Biases in Contrastive Learning

Jeff Z. HaoChen, Tengyu Ma

Comments ICLR 2023

Weighted Ensemble Self-Supervised Learning

Yangjun Ruan, Saurabh Singh, Warren Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon

Comments Accepted by ICLR 2023

Continuous Pseudo-Labeling from the Start

Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

Comments To appear in ICLR 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact

Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

Comments Codes are available in a GitHub repository, see https://github.com/guldoganozgur/ei_fairness. ICLR 2023 Poster. 31 pages, 10 figures, 6 tables

Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation

Bariscan Bozkurt, Ates Isfendiyaroglu, Cengiz Pehlevan, Alper T. Erdogan

Comments ICLR Accepted, 34 pages

Label Propagation with Weak Supervision

Rattana Pukdee, Dylan Sam, Maria-Florina Balcan, Pradeep Ravikumar

Comments ICLR 2023, 26 pages, 2 figures

Predictive Inference with Feature Conformal Prediction

Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

Comments Published as a conference paper at ICLR 2023

Symmetric Pruning in Quantum Neural Networks

Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao

Comments Accepted to International Conference on Learning Representations (ICLR) 2023

Journal ref International Conference on Learning Representations (ICLR) 2023

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu

Comments ICLR 2023

InCoder: A Generative Model for Code Infilling and Synthesis

Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis

Comments ICLR 2023. v3: camera-ready that includes PLBART and OpenAI baselines

A Guide for Practical Use of ADMG Causal Data Augmentation

Audrey Poinsot, Alessandro Leite

Journal ref Workshop on the pitfalls of limited data and computation for Trustworthy ML, ICLR 2023, Kigali, Rwanda

Synthesis of Mathematical programs from Natural Language Specifications

Ganesh Prasath, Shirish Karande

Comments Accepted in ICLR 2023 DL4C stream

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren

Comments 17 pages, 5 figures. Accepted to ICLR 2023

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics

Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

Comments ICLR 2023. Project page: https://sites.google.com/view/dexdeform