hunoutl/paperlists huggingface dataset:
Title: Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery
Authors: Felix Chalumeau, Raphael Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas PIERROT
Affiliations: Imperial College; InstaDeep
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: PatchBlender: A Motion Prior for Video Transformers
Conference: iclr 2023 (main track)
Keywords: transformer;vit;vision;video;prior;temporal;pattern;dimension;latent;time;motion;attention;smoothing;blending;smooth;blend;patch;patchblender;inductive bias;kinetics;kinetics400;ssv2;something-something;something something;kubric;movia;movi-a
Decision: Reject
Title: Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Authors: Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
Affiliations: DP Technology; Renmin University of China; Renmin University of China, DP Technology; DP Technology, AI for Science Institute, Beijing
Conference: iclr 2023 (main track)
Keywords: Representation Learning;Large-Scale 3D Molecular Pretraining;Molecular Property;Protein-Ligand Complex
Decision: Poster
Title: Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Authors: Hanze Dong, Xi Wang, LIN Yong, Tong Zhang
Affiliations: College of Information and Computer Science, UMass Amherst; Department of Mathematics, HKUST; Department of Computer Science and Engineering, HKUST
Conference: iclr 2023 (main track)
Keywords: Posterior Sampling;Particle-based VI
Decision: Poster
Title: FedDAR: Federated Domain-Aware Representation Learning
Authors: Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
Affiliations: Harvard University; Massachusetts Institute of Technology; Massachusetts General Hospital/Harvard Medical School
Conference: iclr 2023 (main track)
Keywords: federated learning;healthcare;fairness;personalization
Decision: Poster
Title: Understanding DDPM Latent Codes Through Optimal Transport
Authors: Valentin Khrulkov, Gleb Ryzhakov, Andrei Chertkov, Ivan Oseledets
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology and AIRI, Moscow, Russia; Yandex, Moscow, Russia
Conference: iclr 2023 (main track)
Keywords: diffusion models;ddpm;optimal transport;theory
Decision: Poster
Title: A VAE for Transformers with Nonparametric Variational Information Bottleneck
Authors: James Henderson, Fabio Fehr
Affiliations: Idiap Research Institute and EPFL, Switzerland; Idiap Research Institute, Switzerland
Conference: iclr 2023 (main track)
Keywords: VAE;VIB;Bayesian nonparametrics;Transformers;natural language
Decision: Poster
Title: Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
Authors: Brian Trippe, Jason Yim, Doug Tischer, David Baker, Tamara Broderick, Regina Barzilay, Tommi Jaakkola
Affiliations: Massachusetts Institute of Technology; University of Washington
Conference: iclr 2023 (main track)
Keywords: Diffusion Models;Sequential Monte Carlo;Protein Design;Geometric Deep Learning
Decision: Poster
Title: An Adaptive Policy to Employ Sharpness-Aware Minimization
Authors: Weisen JIANG, Hansi Yang, Yu Zhang, James Kwok
Affiliations: Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology; Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Peng Cheng Laboratory, Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: iclr 2023 (main track)
Keywords: Sharpness-aware minimization;model generalization;loss landscape
Decision: Poster
Title: Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time
Authors: Qingchun Hou, Jingwei Yang, Yiqiang Su, Xiaoqing Wang, Yuming Deng
Affiliations: Alibaba Group
Conference: iclr 2023 (main track)
Keywords: Learning;Vehicle Routing Problem;Large-scale Vehicle Routing Problem;Generalization;Combinatorial Optimization;Reinforcement Learning;Attention
Decision: Poster
Title: Compositional Task Representations for Large Language Models
Authors: NAN SHAO, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang
Affiliations: Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute; Beijing Jiaotong University; Recurrent AI; Tsinghua University
Conference: iclr 2023 (main track)
Decision: Poster
Title: Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Authors: Akiyama Shunta, Taiji Suzuki
Affiliations: Graduate School of Information Science and Technology, The University of Tokyo, Japan; Graduate School of Information Science and Technology, The University of Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN, Japan
Conference: iclr 2023 (main track)
Keywords: Deep learning theory;optimization;learning theory;excess risk
Decision: Poster
Title: Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Authors: Nimrod Berman, Ilan Naiman, Omri Azencot
Affiliations: Department of Computer Science, Ben-Gurion University of the Negev
Conference: iclr 2023 (main track)
Keywords: Koopman methods;Sequential Disentanglement
Decision: Top-25%
Title: Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
Authors: Shuangshuang Chen, Sihao Ding, Yiannis Karayiannidis, Mårten Björkman
Affiliations: AI Lab, Volvo Car Corporation; Department of Automatic Control, Lund University; School of Electrical Engineering and Computer Science, Royal Institute of Technology
Conference: iclr 2023 (main track)
Keywords: normalizing flows;gradient flows;density estimation;unbiased sampling;variational inference
Decision: Poster
Title: Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Authors: Adam Jelley, Amos Storkey, Antreas Antoniou, Sam Devlin
Affiliations: School of Informatics, University of Edinburgh; Microsoft Research, Cambridge
Conference: iclr 2023 (main track)
Keywords: Contrastive Learning;Meta-Learning;Few-Shot Learning;Partial Observability
Decision: Poster
Title: The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Authors: Yuki Asano, Aaqib Saeed
Affiliations: Video & Image Sense Lab, University of Amsterdam; Department of Industrial Design, Eindhoven University of Technology
Conference: iclr 2023 (main track)
Keywords: Augmentations;Single Image Learning;Distillation
Decision: Poster
Title: Imitating Graph-Based Planning with Goal-Conditioned Policies
Authors: Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Pohang University of Science and Technology (POSTECH)
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Goal-Conditioned Reinforcement Learning
Decision: Poster
Title: Planning Goals for Exploration
Authors: Edward Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
Affiliations: GRASP Lab, Department of CIS, University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: model-based reinforcement learning;exploration;goal-conditioned reinforcement learning;planning;intrinsic motivation;reinforcement learning
Decision: Top-25%
Title: UL2: Unifying Language Learning Paradigms
Authors: Yi Tay, Mostafa Dehghani, Vinh Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, Donald Metzler
Affiliations: Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: language models;pretraining;transformers
Decision: Poster
Title: Editing models with task arithmetic
Authors: Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi
Affiliations: University of Washington; University of Washington, Allen Institute for AI; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: pre-trained models;model editing;model patching;fine-tuning;transfer learning;weight interpolation;merging models
Decision: Poster
Title: Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Authors: Alireza Mousavi-Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A Erdogdu
Affiliations: University of Toronto, Vector Insitute; Saint Mary’s University; Universit ´e de Montr ´eal, Mila Institute; Korea University
Conference: iclr 2023 (main track)
Keywords: feature learning;generalization;compressibility;sgd;neural networks
Decision: Top-25%
Title: MEDFAIR: Benchmarking Fairness for Medical Imaging
Authors: Yongshuo Zong, Yongxin Yang, Timothy Hospedales
Affiliations: School of Informatics, University of Edinburgh; School of Informatics, University of Edinburgh, Samsung AI Centre, Cambridge
Conference: iclr 2023 (main track)
Keywords: Fairness;Bias Mitigation;Medical Imaging;Benchmark
Decision: Top-25%
Title: SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Authors: Hanseul Cho, Chulhee Yun
Affiliations: Kim Jaechul Graduate School of AI, KAIST
Conference: iclr 2023 (main track)
Keywords: minimax optimization;SGDA;without-replacement sampling;random reshuffling;Polyak-Łojasiewicz
Decision: Poster
Title: Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation
Authors: Ainesh Bakshi, Piotr Indyk, Praneeth Kacham, Sandeep Silwal, Samson Zhou
Affiliations: MIT; CMU; UC Berkeley and Rice University
Conference: iclr 2023 (main track)
Keywords: kernel density estimation;sublinear time algorithms
Decision: Top-25%
Title: Learning Group Importance using the Differentiable Hypergeometric Distribution
Authors: Thomas Sutter, Laura Manduchi, Alain Ryser, Julia E Vogt
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2023 (main track)
Keywords: hypergeometric distribution;weakly-supervised learning;reparameterization trick;group importance;variational clustering;gumbel softmax
Decision: Top-25%
Title: Variational Information Pursuit for Interpretable Predictions
Authors: Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin Haeffele, Donald Geman, Rene Vidal
Affiliations: University of Pennsylvania, USA; Johns Hopkins University, USA
Conference: iclr 2023 (main track)
Keywords: Interpretable ML;Explainable AI;Information Pursuit
Decision: Poster
Title: Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting
Authors: Xiajun Jiang, Ryan Missel, Zhiyuan Li, Linwei Wang
Affiliations: Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA
Conference: iclr 2023 (main track)
Keywords: Time series;generative models;Bayesian meta-learning
Decision: Top-25%
Title: Towards Robustness Certification Against Universal Perturbations
Authors: Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
Affiliations: Sony AI, Tokyo, 108-0075, Japan; University of California, Los Angeles, CA 90095, USA; Virginia Tech, Blacksburg, VA 24061, USA
Conference: iclr 2023 (main track)
Keywords: Universal Perturbation;Adversarial Attack;Backdoor Attack;Certified Robustness;Poisoning Attack
Decision: Poster
Title: Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Authors: Michał Zawalski, Michał Tyrolski, Konrad Czechowski, Tomasz Odrzygóźdź, Damian Stachura, Piotr Piękos, Yuhuai Wu, Łukasz Kuciński, Piotr Miłoś
Affiliations: Polish Academy of Sciences; University of Warsaw; Ideas NCBR, Polish Academy of Sciences, deepsense.ai; IDEAS NCBR; KAUST; Google Research & Stanford University; Jagiellonian University
Conference: iclr 2023 (main track)
Keywords: search;adaptive horizon;verification;deep learning;hierarchical planning
Decision: Top-5%
Title: $\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
Authors: Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; AiRiA; Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Graph Neural Networks;MPNN framework;Mixed-precision;Quantization
Decision: Poster
Title: Encoding Recurrence into Transformers
Authors: Feiqing Huang, Kexin Lu, Yuxi Cai, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li
Affiliations: Huawei Noah’s Ark Lab; Department of Statistics and Actuarial Science, The University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Recurrent models;Transformers;sample efficiency;gated mechanism
Decision: Top-5%
Title: Measuring Forgetting of Memorized Training Examples
Authors: Matthew Jagielski, Om Thakkar, Florian Tramer, Daphne Ippolito, Katherine Lee, Nicholas Carlini, Eric Wallace, Shuang Song, Abhradeep Guha Thakurta, Nicolas Papernot, Chiyuan Zhang
Affiliations: University of California, Berkeley; Google; University of Toronto; Cornell University; ETH Zurich
Conference: iclr 2023 (main track)
Keywords: forgetting;memorization;membership inference;canary extraction;nondeterminism;convexity
Decision: Poster
Title: Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
Authors: YunYoung Choi, Sun Woo Park, Youngho Woo, U Jin Choi
Affiliations: Division of Industrial Mathematics, National Institute for Mathematical Sciences, Daejeon, South Korea; Department of Mathematical Sciences, KAIST, Daejeon, South Korea
Conference: iclr 2023 (main track)
Decision: Poster
Title: Strong inductive biases provably prevent harmless interpolation
Authors: Michael Aerni, Marco Milanta, Konstantin Donhauser, Fanny Yang
Affiliations: Department of Computer Science, ETH Zurich; Department of Computer Science, ETH Zurich and ETH AI Center
Conference: iclr 2023 (main track)
Keywords: high-dimensional statistics;non-parametric regression;deep learning theory;generalization bounds;benign overfitting
Decision: Poster
Title: Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
Authors: Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh Chawla, Chuxu Zhang
Affiliations: Brandeis University; University of Notre Dame
Conference: iclr 2023 (main track)
Keywords: Graph neural networks;Mixture of experts;Graph adversarial learning
Decision: Poster
Title: Certified Training: Small Boxes are All You Need
Authors: Mark N Müller, Franziska Eckert, Marc Fischer, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2023 (main track)
Keywords: Certified Training;Certified Robustness;Adversarial Robustness;Robustness Verification
Decision: Top-25%
Title: DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
Authors: Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, WEIZHONG ZHANG, Lixing Gong, Tong Tao, pengzhang liu, Yongjun Bao, Weipeng Yan
Affiliations: Northeastern University; JD.com; Fudan University
Conference: iclr 2023 (main track)
Keywords: efficient training;data selection
Decision: Poster
Title: Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders
Authors: Youngwan Lee, Jeff Willette, Jonghee Kim, Juho Lee, Sung Ju Hwang
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), South Korea; Electronics and Telecommunications Research Institute (ETRI), South Korea
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;masked auto-encoder
Decision: Poster
Title: Neural-based classification rule learning for sequential data
Authors: Marine Collery, Philippe Bonnard, François Fages, Remy Kusters
Affiliations: IBM France Lab, IBM Research; Inria Saclay; IBM France Lab, Inria Saclay; IBM France Lab
Conference: iclr 2023 (main track)
Keywords: classification rule learning;binary neural network;interpretable AI;sequential data
Decision: Poster
Title: OTOv2: Automatic, Generic, User-Friendly
Authors: Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov
Affiliations: The Ohio State of University, Columbus, OH 43210, USA; Microsoft, Redmond, WA 98052, USA
Conference: iclr 2023 (main track)
Keywords: Model Compression;One Shot;Automatic;Generic;User-Friendly
Decision: Poster
Title: Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Authors: Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
Affiliations: Microsoft Research Asia; School of Computing, KAIST
Conference: iclr 2023 (main track)
Keywords: few-shot learning;dense prediction tasks
Decision: Top-5%
Title: Function-space regularized Rényi divergences
Authors: Jeremiah Birrell, Yannis Pantazis, Paul Dupuis, Luc Rey-Bellet, Markos Katsoulakis
Affiliations: Brown University; Foundation for Research & Technology - Hellas; University of Massachusetts, Amherst
Conference: iclr 2023 (main track)
Keywords: Rényi divergence;integral probability metrics;variational formulas;worst-case-regret
Decision: Poster
Title: Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
Authors: Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao
Affiliations: JD Explore Academy, JD.com, Beijing, China; Department of Mathematics, Hong Kong Baptist University, Hong Kong, China; School of Computer Science, University of Sydney, Sydney, Australia; University of Science and Technology of China, Hefei, China
Conference: iclr 2023 (main track)
Keywords: Algorithmic Stability;Non-I.I.D. Learning;Generalization Error;Learning Theory
Decision: Poster
Title: Reliability of CKA as a Similarity Measure in Deep Learning
Authors: MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
Affiliations: Concordia University, Mila – Quebec AI Institute; Université de Montréal, Mila – Quebec AI Institute
Conference: iclr 2023 (main track)
Keywords: Representation Learning;Similarity Measures;Centered Kernel Alignment (CKA)
Decision: Poster
Title: Visually-Augmented Language Modeling
Authors: Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
Affiliations: University of California, Santa Barbara; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: visually-grounded language modeling;visual commonsense reasoning;pre-trained visually-augmented language model
Decision: Poster
Title: Provable Memorization Capacity of Transformers
Authors: Junghwan Kim, Michelle Kim, Barzan Mozafari
Affiliations: CSE Department, Michigan State University, East Lansing, MI; CSE Department, University of Michigan, Ann Arbor, MI
Conference: iclr 2023 (main track)
Keywords: Transformer;Expressivness;Memorization;Deep learning theory;contextual mapping;permutation equivariance
Decision: Poster
Title: Unified Discrete Diffusion for Simultaneous Vision-Language Generation
Authors: Minghui HU, Chuanxia Zheng, Zuopeng Yang, Tat-Jen Cham, Heliang Zheng, Chaoyue Wang, Dacheng Tao, Ponnuthurai Suganthan
Affiliations: University of Oxford; JD Explore Academy; Shanghai Jiao Tong University; Nanyang Technological University; Qatar University
Conference: iclr 2023 (main track)
Keywords: Multi-modal;Image generation;Image Caption.
Decision: Poster
Title: Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
Authors: Bariscan Bozkurt, Ateş İsfendiyaroğlu, Cengiz Pehlevan, Alper Erdogan
Affiliations: Uskudar American Academy; KUIS AI Center, Koc University, Turkey and EEE Department, Koc University, Turkey; John A. Paulson School of Engineering & Applied Sciences and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA
Conference: iclr 2023 (main track)
Keywords: Biologically Plausible Neural Networks;Blind Correlated Source Separation;Correlative Information Maximization
Decision: Poster
Title: NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Authors: Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He
Affiliations: School of Computer Science and Technology, Huazhong University of Science and Technology; Institute of Artificial Intelligence, Huazhong University of Science and Technology; Hopcroft Center on Computing Science, Huazhong University of Science and Technology
Conference: iclr 2023 (main track)
Keywords: Graph Transformer;node classification;neighborhood aggregation;multi-hop neighborhood
Decision: Poster
Title: Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Authors: Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma
Affiliations: Xi’an Jiaotong University; MEGVII Technology; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Representation Learning;Cross-Modal Learning;3D Point Clouds
Decision: Poster
Title: Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
Authors: Li Jin, Yaoming wang, XIAOPENG ZHANG, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian
Affiliations: Shanghai Jiao Tong University; Huawei Cloud
Conference: iclr 2023 (main track)
Keywords: MIM;Transformer;self-supervised learning
Decision: Poster
Title: Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Authors: Hongsuk Choi, Hyeongjin Nam, Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee
Affiliations: Samsung Research America, New York; Meta Reality Labs Research; IPAI, Seoul National University, Korea; Dept. of ECE & ASRI, Seoul National University, Korea
Conference: iclr 2023 (main track)
Keywords: pre-training;3D human pose and shape estimation;self-supervised representation learning
Decision: Poster
Title: Causality Compensated Attention for Contextual Biased Visual Recognition
Authors: Ruyang Liu, Jingjia Huang, Thomas Li, Ge Li
Affiliations: ByteDance Inc; School of Electronic and Computer Engineering, Peking University
Conference: iclr 2023 (main track)
Keywords: Causal Inference;Object Recognition;Attention Mechanism;Confounding Context;Interventional Dual Attention
Decision: Poster
Title: Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Authors: Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, Yejin Choi
Affiliations: Cornell University; Fraunhofer IAIS; Allen Institute for Artificial Intelligence; Paul G. Allen School of Computer Science, University of Washington
Conference: iclr 2023 (main track)
Keywords: natural language processing;reinforcement learning;language models;feedback learning
Decision: Top-25%
Title: GReTo: Remedying dynamic graph topology-task discordance via target homophily
Authors: Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, LEI BAI, Yang Wang
Affiliations: School of Software Engineering, USTC.; Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China (USTC), Hefei, China; School of Computer Science and Technology, USTC.; Shanghai AI Laboratory, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: Dynamic graph;graph homophily theory;Graph Neural Network;topology-task discordance
Decision: Poster
Title: Multiple sequence alignment as a sequence-to-sequence learning problem
Authors: Edo Dotan, Yonatan Belinkov, Oren Avram, Elya Wygoda, Noa Ecker, Michael Alburquerque, Omri Keren, Gil Loewenthal, Tal Pupko
Affiliations: Technion – Israel Institute of Technology; Tel Aviv University; University of California Los Angeles
Conference: iclr 2023 (main track)
Keywords: sequence alignment;molecular evolution;natural language processing;bioinformatics
Decision: Poster