Chun‐Liang Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	FastVLM: Efficient Vision Encoding for Vision Language Models	2024	Pavan Kumar Anasosalu Vasu Fartash Faghri Chun‐Liang Li Cem Koc Nate True Albert Antony G. Santhanam James Gabriel Peter Grasch Oncel Tuzel
+ PDF Chat	RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception	2024	Chun‐Liang Li Wencheng Han Junbo Yin Sanyuan Zhao Jianbing Shen
+ PDF Chat	MUSCLE: A Model Update Strategy for Compatible LLM Evolution	2024	Jessica Maria Echterhoff Fartash Faghri Raviteja Vemulapalli Ting-Yao Hu Chun‐Liang Li Oncel Tuzel Hadi Pouransari
+ PDF Chat	Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions	2024	Yu-Guan Hsieh Cheng-Yu Hsieh S.-P. Yeh Louis Béthune Hadi Pour Ansari Pavan Kumar Anasosalu Vasu Chun‐Liang Li Ranjay Krishna Oncel Tuzel Marco Cuturi
+ PDF Chat	Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization	2024	Cheng-Yu Hsieh Yung-Sung Chuang Chun‐Liang Li Zifeng Wang Long Tan Le Abhishek Kumar James M. Glass Alexander Ratner Chen‐Yu Lee Ranjay Krishna
+ PDF Chat	The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better	2024	Scott Geng Cheng-Yu Hsieh Vivek Ramanujan Matthew Wallingford Chun‐Liang Li Pang Wei Koh Ranjay Krishna
+ PDF Chat	Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum	2024	Hadi Pouransari Chun‐Liang Li Jen-Hao Rick Chang Pavan Kumar Anasosalu Vasu Cem Koc Vaishaal Shankar Oncel Tuzel
+ PDF Chat	CodecLM: Aligning Language Models with Tailored Synthetic Data	2024	Zifeng Wang Chun‐Liang Li Vinçent Pérot Long Tan Le Miao Jin Zizhao Zhang Chen-Yu Lee Tomas Pfister
+	Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding	2024	Zilong Wang Hao Zhang Chun‐Liang Li Julian Martin Eisenschlos Vinçent Pérot Zifeng Wang Lesly Miculicich Yasuhisa Fujii Jingbo Shang Chen-Yu Lee
+ PDF Chat	CodecLM: Aligning Language Models with Tailored Synthetic Data	2024	Zifeng Wang Chun‐Liang Li Vincent Perot Long P. Le Jin Miao Zizhao Zhang Chen-Yu Lee Tomas Pfister
+ PDF Chat	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+ PDF Chat	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval	2023	Kuniaki Saito Kihyuk Sohn Xiang Zhang Chun‐Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister
+ PDF Chat	Prefix Conditioning Unifies Language and Label Supervision	2023	Kuniaki Saito Kihyuk Sohn Xiang Zhang Chun‐Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister
+ PDF Chat	Hyperbolic Contrastive Learning for Visual Representations beyond Objects	2023	Songwei Ge Shlok Mishra Simon Kornblith Chun‐Liang Li David R. Jacobs
+	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+ PDF Chat	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	2023	Kihyuk Sohn Jinsung Yoon Chun‐Liang Li Chen‐Yu Lee Tomas Pfister
+	Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval	2023	Kuniaki Saito Kihyuk Sohn Xiang Zhang Chun‐Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister
+	TSMixer: An All-MLP Architecture for Time Series Forecasting	2023	Sian Chen Chun‐Liang Li Nathanael C. Yoder Sercan Ö. Arık Tomas Pfister
+	Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes	2023	Cheng-Yu Hsieh Chun‐Liang Li Chih‐Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen‐Yu Lee Tomas Pfister
+	FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction	2023	Chen-Yu Lee Chun‐Liang Li Hao Zhang Timothy Dozat Vinçent Pérot Guolong Su Xiang Zhang Kihyuk Sohn Nikolai Glushnev Renshen Wang
+	Re-Benchmarking Pool-Based Active Learning for Binary Classification	2023	Po-Yi Lu Chun‐Liang Li Hsuan-Tien Lin
+ PDF Chat	Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes	2023	Cheng-Yu Hsieh Chun‐Liang Li Chih‐Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alex Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister
+	FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction	2023	Chen-Yu Lee Chun‐Liang Li Hao Zhang Timothy Dozat Vinçent Pérot Guolong Su Xiang Zhang Kihyuk Sohn Nikolay Glushnev Renshen Wang
+	Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models	2023	Cheng-Yu Hsieh Sian Chen Chun‐Liang Li Yasuhisa Fujii Alexander Ratner Chen-Yu Lee Ranjay Krishna Tomas Pfister
+ PDF Chat	The United States COVID-19 Forecast Hub dataset	2022	Estee Y. Cramer Yuxin Huang Yijin Wang Evan L Ray Matthew Cornell Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Katie House
+	Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States	2022	Estee Y. Cramer Evan L Ray Velma K. Lopez Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Tilmann Gneiting Katie House Yuxin Huang
+	Decoupling Local and Global Representations of Time Series	2022	Sana Tonekaboni Chun‐Liang Li Sercan Ö. Arık Anna Goldenberg Tomas Pfister
+	Learning Instance-Specific Adaptation for Cross-Domain Segmentation	2022	Yuliang Zou Zizhao Zhang Chun‐Liang Li Han Zhang Tomas Pfister Jia‐Bin Huang
+	FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction	2022	Chen-Yu Lee Chun‐Liang Li Timothy Dozat Vinçent Pérot Guolong Su Nan Hua Joshua Ainslie Renshen Wang Yasuhisa Fujii Tomas Pfister
+	Prefix Conditioning Unifies Language and Label Supervision	2022	Kuniaki Saito Kihyuk Sohn Xiang Zhang Chun‐Liang Li Chen-Yu Lee Kate Saenko Tomas Pfister
+ PDF Chat	FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction	2022	Chen-Yu Lee Chun‐Liang Li Timothy Dozat Vinçent Pérot Guolong Su Nan Hua Joshua Ainslie Renshen Wang Yasuhisa Fujii Tomas Pfister
+	SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch	2022	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Tomas Pfister
+	Hyperbolic Contrastive Learning for Visual Representations beyond Objects	2022	Songwei Ge Shlok Mishra Simon Kornblith Chun‐Liang Li David R. Jacobs
+ PDF Chat	Learning Instance-Specific Adaptation for Cross-Domain Segmentation	2022	Yuliang Zou Zizhao Zhang Chun‐Liang Li Han Zhang Tomas Pfister Jia‐Bin Huang
+ PDF Chat	A Unified View of cGANs with and without Classifiers	2021	Sian Chen Chun‐Liang Li Hsuan-Tien Lin
+ PDF Chat	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan	2021	Sercan Ö. Arık Joel Shor Rajarishi Sinha Jinsung Yoon Joseph R. Ledsam Long Tan Le Michael W. Dusenberry Nathanael C. Yoder Kris Popendorf Arkady Epshteyn
+	Object-aware Contrastive Learning for Debiased Scene Representation	2021	Sangwoo Mo Hyunwoo Kang Kihyuk Sohn Chun‐Liang Li Jinwoo Shin
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	Self-Trained One-class Classification for Unsupervised Anomaly Detection.	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+ PDF Chat	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister
+	DISSECT: Disentangled Simultaneous Explanations via Concept Traversals.	2021	Asma Ghandeharioun Been Kim Chun‐Liang Li Brendan Jou Brian Eoff Rosalind W. Picard
+	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation	2021	Yuliang Zou Zizhao Zhang Han Zhang Chun‐Liang Li Xiao Bian Jia‐Bin Huang Tomas Pfister
+ PDF Chat	Deep generative models for galaxy image simulations	2021	François Lanusse Rachel Mandelbaum Siamak Ravanbakhsh Chun‐Liang Li Peter E. Freeman Barnabás Póczos
+ PDF Chat	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister
+ PDF Chat	A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan	2021	Joseph R. Ledsam Sercan Ö. Arık Joel Shor Rajarishi Sinha Jinsung Yoon Long Tan Le Michael W. Dusenberry Nathanael C. Yoder Kris Popendorf Arkady Epshteyn
+ PDF Chat	Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US	2021	Estee Y. Cramer Evan L Ray Velma K. Lopez Johannes Bracher Andrea Brennen Alvaro J. Castro Rivadeneira Aaron Gerding Tilmann Gneiting Katie House Yuxin Huang
+	Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration	2021	Sian Chen Chun‐Liang Li Hsuan-Tien Lin
+	CutPaste: Self-Supervised Learning for Anomaly Detection and Localization	2021	Chun‐Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	Object-aware Contrastive Learning for Debiased Scene Representation	2021	Sangwoo Mo Hyunwoo Kang Kihyuk Sohn Chun‐Liang Li Jinwoo Shin
+	Robust Contrastive Learning Using Negative Samples with Diminished Semantics	2021	Songwei Ge Shlok Mishra Haohan Wang Chun‐Liang Li David Jacobs
+	A Unified View of cGANs with and without Classifiers	2021	Sian Chen Chun‐Liang Li Hsuan-Tien Lin
+	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	2021	Kihyuk Sohn Jinsung Yoon Chun‐Liang Li Chen‐Yu Lee Tomas Pfister
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	DISSECT: Disentangled Simultaneous Explanations via Concept Traversals	2021	Asma Ghandeharioun Been Kim Chun‐Liang Li Brendan Jou Brian Eoff Rosalind W. Picard
+	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+	i-Mix: A Strategy for Regularizing Contrastive Representation Learning	2020	Kibok Lee Yian Zhu Kihyuk Sohn Chun‐Liang Li Jinwoo Shin Honglak Lee
+ PDF Chat	Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling	2020	Haoran You Yu Cheng Tianheng Cheng Chun‐Liang Li Pan Zhou
+	Unsupervised Program Synthesis for Images using Tree-Structured LSTM.	2020	Chenghui Zhou Chun‐Liang Li Barnabás Póczos
+	FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	Kihyuk Sohn David Berthelot Chun‐Liang Li Zizhao Zhang Nicholas Carlini Ekin D. Cubuk А.В. Куракин Han Zhang Colin Raffel
+	A Simple Semi-Supervised Learning Framework for Object Detection	2020	Kihyuk Sohn Zizhao Zhang Chun‐Liang Li Han Zhang Chen‐Yu Lee Tomas Pfister
+	Kernel Stein Generative Modeling	2020	Wei-Cheng Chang Chun‐Liang Li Youssef Mroueh Yiming Yang
+	Interpretable Sequence Learning for COVID-19 Forecasting	2020	Sercan Ö. Arık Chun‐Liang Li Jinsung Yoon Rajarishi Sinha Arkady Epshteyn Long Tan Le Vikas Menon Shashank Singh Leyou Zhang Nathanael C. Yoder
+	PseudoSeg: Designing Pseudo Labels for Semantic Segmentation	2020	Yuliang Zou Zizhao Zhang Han Zhang Chun‐Liang Li Xiao Bian Jia‐Bin Huang Tomas Pfister
+	Learning and Evaluating Representations for Deep One-class Classification	2020	Kihyuk Sohn Chun‐Liang Li Jinsung Yoon Minho Jin Tomas Pfister
+	Unsupervised Program Synthesis for Images By Sampling Without Replacement	2020	Chenghui Zhou Chun‐Liang Li Barnabás Póczos
+	i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning	2020	Kibok Lee Yian Zhu Kihyuk Sohn Chun‐Liang Li Jinwoo Shin Honglak Lee
+	Learned Interpolation for 3D Generation	2019	Austin Dill Songwei Ge Eunsu Kang Chun‐Liang Li Barnabás Póczos
+	On Completeness-aware Concept-Based Explanations in Deep Neural Networks.	2019	Chih‐Kuan Yeh Been Kim Sercan Ö. Arık Chun‐Liang Li Tomas Pfister Pradeep Ravikumar
+ PDF Chat	LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds	2019	Chun‐Liang Li Tomas Simon Jason Saragih Barnabás Póczos Yaser Sheikh
+	Implicit Kernel Learning	2019	Chun‐Liang Li Wei-Cheng Chang Youssef Mroueh Yiming Yang Barnabás Póczos
+	Kernel Change-point Detection with Auxiliary Deep Generative Models	2019	Wei-Cheng Chang Chun‐Liang Li Yiming Yang Barnabás Póczos
+	Implicit Kernel Learning	2019	Chun‐Liang Li Wei-Cheng Chang Youssef Mroueh Yiming Yang Barnabás Póczos
+	LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds	2019	Chun‐Liang Li Tomas Simon Jason Saragih Barnabás Póczos Yaser Sheikh
+	Kernel Change-point Detection with Auxiliary Deep Generative Models	2019	Wei-Cheng Chang Chun‐Liang Li Yiming Yang Barnabás Póczos
+	Developing Creative AI to Generate Sculptural Objects	2019	Songwei Ge Austin Dill Eunsu Kang Chun‐Liang Li Lingyao Zhang Manzil Zaheer Barnabás Póczos
+	Getting Topology and Point Cloud Generation to Mesh	2019	Austin Dill Chun‐Liang Li Songwei Ge Eunsu Kang
+	Learned Interpolation for 3D Generation	2019	Austin Dill Songwei Ge Eunsu Kang Chun‐Liang Li Barnabás Póczos
+	On Completeness-aware Concept-Based Explanations in Deep Neural Networks	2019	Chih‐Kuan Yeh Been Kim Sercan Ö. Arık Chun‐Liang Li Tomas Pfister Pradeep Ravikumar
+	Bayesian CycleGAN via Marginalizing Latent Sampling.	2018	Haoran You Yu Cheng Tianheng Cheng Chun‐Liang Li Pan Zhou
+	Point Cloud GAN	2018	Chun‐Liang Li Manzil Zaheer Yang Zhang Barnabás Póczos Ruslan Salakhutdinov
+	Point Cloud GAN	2018	Chun‐Liang Li Manzil Zaheer Yang Zhang Barnabás Póczos Ruslan Salakhutdinov
+	Adversarial Geometry and Lighting using a Differentiable Renderer	2018	Hsueh‐Ti Derek Liu Michael Tao Chun‐Liang Li Derek Nowrouzezahrai Alec Jacobson
+	Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond	2018	Xi Ouyang Yu Cheng Yifan Jiang Chun‐Liang Li Pan Zhou
+	Nonparametric Density Estimation under Adversarial Losses	2018	Shashank Singh Ananya Uppal Boyue Li Chun‐Liang Li Manzil Zaheer Barnabás Póczos
+	Hallucinating Point Cloud into 3D Sculptural Object	2018	Chun‐Liang Li Eunsu Kang Songwei Ge Lingyao Zhang Austin Dill Manzil Zaheer Barnabás Póczos
+	Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer	2018	Hsueh‐Ti Derek Liu Michael Tao Chun‐Liang Li Derek Nowrouzezahrai Alec Jacobson
+	Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling	2018	Haoran You Yu Cheng Tianheng Cheng Chun‐Liang Li Pan Zhou
+	Point Cloud GAN	2018	Chun‐Liang Li Manzil Zaheer Yang Zhang Barnabás Póczos Ruslan Salakhutdinov
+ PDF Chat	One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models	2017	Je-Yuan Chang Chun‐Liang Li Barnabás Póczos B. V. K. Vijaya Kumar Aswin C. Sankaranarayanan
+	Data-driven Random Fourier Features using Stein Effect	2017	Wei-Cheng Chang Chun‐Liang Li Yiming Yang Barnabás Póczos
+ PDF Chat	CMU DeepLens: deep learning for automatic image-based galaxy–galaxy strong lens finding	2017	François Lanusse Quanbin Ma Nan Li Thomas S Collett Chun‐Liang Li Siamak Ravanbakhsh Rachel Mandelbaum Barnabás Póczos
+	MMD GAN: Towards Deeper Understanding of Moment Matching Network	2017	Chun‐Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczos
+	One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models	2017	Je-Yuan Chang Chun‐Liang Li Barnabás Póczos B. V. K. Vijaya Kumar Aswin C. Sankaranarayanan
+ PDF Chat	Polynomial Optimization Methods for Matrix Factorization	2017	Po-Wei Wang Chun‐Liang Li J. Zico Kolter
+	Data-driven Random Fourier Features using Stein Effect	2017	Wei-Cheng Chang Chun‐Liang Li Yiming Yang Barnabás Póczos
+	MMD GAN: Towards Deeper Understanding of Moment Matching Network	2017	Chun‐Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczos
+	One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models	2017	Chang J. H. Rick Chun‐Liang Li Barnabás Póczos Kumar B. V. K. Vijaya
+	Sobolev GAN	2017	Youssef Mroueh Chun‐Liang Li Tom Sercu Anant Raj Cheng Yu
+	Annealing Gaussian into ReLU: a New Sampling Strategy for Leaky-ReLU RBM	2016	Chun‐Liang Li Siamak Ravanbakhsh Barnabás Póczos
+	Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA	2015	Chun‐Liang Li Hsuan-Tien Lin Chi-Jen Lu
+	Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA	2015	Chun‐Liang Li Hsuan-Tien Lin Chi-Jen Lu

Common Coauthors

Coauthor	Papers Together
Tomas Pfister	44
Barnabás Póczos	26
Kihyuk Sohn	21
Jinsung Yoon	15
Sercan Ö. Arık	15
Chen‐Yu Lee	12
Yasuhisa Fujii	9
Wei-Cheng Chang	9
Long Tan Le	8
Chen-Yu Lee	8
Songwei Ge	8
Nathanael C. Yoder	7
Zizhao Zhang	7
Vinçent Pérot	6
Hsuan-Tien Lin	6
Elli Kanal	6
Arkady Epshteyn	6
Rajarishi Sinha	6
Cheng-Yu Hsieh	6
Ranjay Krishna	6
Austin Dill	5
Chen-Yu Lee	5
Yu Cheng	5
Yiming Yang	5
Xiang Zhang	5
Eunsu Kang	5
Thomas C. Tsai	5
Sian Chen	5
Siyang Qin	5
Nan Hua	4
Shashank Singh	4
Jia‐Bin Huang	4
Leyou Zhang	4
Kuniaki Saito	4
Jinwoo Shin	4
Kate Saenko	4
Joshua Ainslie	4
Youssef Mroueh	4
Guolong Su	4
Been Kim	4
Chih‐Kuan Yeh	4
Timothy Dozat	4
Dario Sava	4
Oncel Tuzel	4
Renshen Wang	4
Michael W. Dusenberry	4
Rachel J. Oidtman	3
Maria Jahja	3
Christina Kyriakides	3
Ajitesh Srivastava	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	12
+	MMD GAN: Towards Deeper Understanding of Moment Matching Network	2017	Chun‐Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczos	8
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	8
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	7
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	7
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	6
+	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	2016	Jiajun Wu Chengkai Zhang Tianfan Xue William T. Freeman Joshua B. Tenenbaum	6
+	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization	2016	Sebastian Nowozin Botond Cseke Ryota Tomioka	6
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	6
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	6
+ PDF Chat	FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation	2018	Yaoqing Yang Chen Feng Yiru Shen Dong Tian	6
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	6
+ PDF Chat	Evaluating epidemic forecasts in an interval format	2021	Johannes Bracher Evan L Ray Tilmann Gneiting Nicholas G Reich	5
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	5
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	5
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	5
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	5
+ PDF Chat	The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization	2021	Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Fengqiu Wang Evan Dorundo Rahul Desai Tyler Zhu Samyak Parajuli Mike Guo	5
+	Generalization and Equilibrium in Generative Adversarial Nets (GANs)	2017	Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang	4
+	Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer	2018	Hsueh‐Ti Derek Liu Michael Tao Chun‐Liang Li Derek Nowrouzezahrai Alec Jacobson	4
+	Learning Representations and Generative Models for 3D Point Clouds	2017	Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas	4
+	Improved Baselines with Momentum Contrastive Learning	2020	Xinlei Chen Haoqi Fan Ross Girshick Kaiming He	4
+	Point Cloud GAN	2018	Chun‐Liang Li Manzil Zaheer Yang Zhang Barnabás Póczos Ruslan Salakhutdinov	4
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	4
+	ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring	2020	David Berthelot Nicholas Carlini Ekin D. Cubuk А.В. Куракин Kihyuk Sohn Han Zhang Colin Raffel	4
+ PDF Chat	Self-Training With Noisy Student Improves ImageNet Classification	2020	Qizhe Xie Minh-Thang Luong Eduard Hovy Quoc V. Le	4
+ PDF Chat	Contrastive Multiview Coding	2020	Yonglong Tian Dilip Krishnan Phillip Isola	4
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	4
+	Deep Sets	2017	Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczos Ruslan Salakhutdinov Alexander J. Smola	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	4
+ PDF Chat	AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation	2018	Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan Russell Mathieu Aubry	4
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	4
+ PDF Chat	CloudScan - A Configuration-Free Invoice Analysis System Using Recurrent Neural Networks	2017	Rasmus Palm Ole Winther Florian Laws	4
+	MixMatch: A Holistic Approach to Semi-Supervised Learning	2019	David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel	4
+	MMD GAN: Towards Deeper Understanding of Moment Matching Network	2017	Chun‐Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczos	4
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	4
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	4
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	4
+ PDF Chat	Chargrid: Towards Understanding 2D Documents	2018	Anoop R Katti Christian Reisswig Cordula Guder Sebastian Brarda Steffen Bickel Johannes Höhne Jean Baptiste Faddoul	4
+ PDF Chat	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation	2017	Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas	4
+	Unsupervised Data Augmentation for Consistency Training	2019	Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong Quoc V. Le	4
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	4
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	4
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	4
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+	CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor	2019	Xiaohui Zhao Zhuo Wu Xiaoguang Wang	4
+ PDF Chat	FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents	2019	Guillaume Jaume Hazım Kemal Ekenel Jean‐Philippe Thiran	4
+	Hamiltonian Neural Networks	2019	Sam Greydanus Misko Dzamba Jason Yosinski	3