hunoutl/paperlists huggingface dataset:
Title: Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
Authors: Spencer Frei, Gal Vardi, Peter Bartlett, Nathan Srebro, Wei Hu
Affiliations: University of Michigan; UC Berkeley and Google; TTI Chicago; TTI Chicago and Hebrew University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: implicit bias;gradient descent;gradient flow;neural networks
Decision: Top-25%
Title: Token Merging: Your ViT But Faster
Authors: Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Affiliations: Meta AI; Georgia Tech
Conference: iclr 2023 (main track)
Keywords: token merging;token pruning;inference speed;training speed;throughput;off-the-shelf;fine tuning
Decision: Top-5%
Title: Human-level Atari 200x faster
Authors: Steven Kapturowski, Víctor Campos, Ray Jiang, Nemanja Rakicevic, Hado van Hasselt, Charles Blundell, Adria Puigdomenech Badia
Affiliations: DeepMind
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Data-efficiency;Exploration;Off-policy
Decision: Poster
Title: Agree to Disagree: Diversity through Disagreement for Better Transferability
Authors: Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Karimireddy
Affiliations: EPFL & UC Berkeley; EPFL
Conference: iclr 2023 (main track)
Keywords: OOD generalization;Diversity;Ensemble
Decision: Top-5%
Title: Symmetric Pruning in Quantum Neural Networks
Authors: Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao
Affiliations: Institute of Artificial Intelligence, School of Computer Science, Wuhan University, China; National Engineering Research Center for Multimedia Software, School of Computer Science, Institute of Artificial Intelligence and Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University, China; Hubei Luojia Laboratory, Wuhan, China; JD Explore Academy; Pritzker School of Molecular Engineering, The University of Chicago; Chicago Quantum Exchange; Kadanoff Center for Theoretical Physics; qBraid Co.; Sydney AI Centre, The University of Sydney; Institute of Artificial Intelligence, School of Computer Science, Wuhan University, China; JD Explore Academy
Conference: iclr 2023 (main track)
Keywords: quantum neural networks;symmetry;pruning;quantum neural tangent kernel;effective dimension
Decision: Top-25%
Title: On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Authors: Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
Affiliations: University of California, San Diego
Conference: iclr 2023 (main track)
Keywords: model-based reinforcement learning;visual reinforcement learning
Decision: Poster
Title: Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
Authors: Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
Affiliations: ShanghaiTech University, Shanghai, China; Shanghai Engineering Research Cente of Intelligent Vision and Imaging, Shanghai, China; ShanghaiTech University, Shanghai, China; ShanghaiTech University, Shanghai, China; Lingang Laboratory, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: Semantic Segmentation;Aleatoric Uncertainty;Stochastic Segmentation;Multiple Annotations
Decision: Poster
Title: Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
Authors: Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang
Affiliations: Department of Computer Science and Technology, Tsinghua University; Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University; Shanghai Artificial Intelligence Laboratory, Shanghai Qi Zhi Institute
Conference: iclr 2023 (main track)
Keywords: Zero-Shot Learning;Multi-Task Learning;Transfer Learning
Decision: Top-25%
Title: Alternating Differentiation for Optimization Layers
Authors: Haixiang Sun, Ye Shi, Jingya Wang, Hoang Tuan, H. Vincent Poor, Dacheng Tao
Affiliations: Princeton University; JD Explore Academy; University of Technology Sydney; ShanghaiTech University
Conference: iclr 2023 (main track)
Keywords: Alternating differentiation;optimization layers;unrolling;implicit models
Decision: Poster
Title: When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
Authors: Mert Yuksekgonul, Federico Bianchi, Ria Kalluri, Dan Jurafsky, James Y Zou
Affiliations: Stanford University
Conference: iclr 2023 (main track)
Keywords: vision-language models;clip;contrastive learning;retrieval;vision-language pretraining;multimodal representation learning
Decision: Top-5%
Title: Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Authors: Wenlin Chen, Austin Tripp, José Miguel Hernández Lobato
Affiliations: University of Cambridge; University of Cambridge, MPI for Intelligent Systems
Conference: iclr 2023 (main track)
Keywords: meta-learning;few-shot learning;Gaussian processes;deep kernel learning;bilevel optimization;chemistry;molecules;drug discovery
Decision: Poster
Title: PEER: A Collaborative Language Model
Authors: Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel
Affiliations: Meta AI Research, Carnegie Mellon University; Meta AI Research, Inria & ENS, PSL University; Meta AI Research, University College London; Meta AI Research
Conference: iclr 2023 (main track)
Keywords: Language Models;Controllability;Prompting;Zero-Shot Learning;Editing
Decision: Top-25%
Title: Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
Authors: Baiting Zhu, Meihua Dang, Aditya Grover
Affiliations: University of California, Los Angeles, CA, USA
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Offline Reinforcement Learning;Multi-Objective Reinforcement Learning;Decision Transformer;Sequential Decision Making
Decision: Poster
Title: Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy
Authors: Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang
Affiliations: College of Computer Science, Nankai University, Tianjin, China; Microsoft Corporation, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Out-of-Distribution detection;Hopfield Energy;Hyperparameter-Free
Decision: Poster
Title: Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification
Authors: Hao ZHENG, Runqi Wang, Jianzhuang Liu, Asako Kanezaki
Affiliations: Tokyo Institute of Technology; Huawei Noah’s Ark Lab
Conference: iclr 2023 (main track)
Keywords: cross-domain few-shot classification;cross-level distillation;feature denoising
Decision: Poster
Title: DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
Authors: Joya Chen, Kai Xu, Yuhui Wang, Yifei Cheng, Angela Yao
Affiliations: University of Science and Technology of China; National University of Singapore
Conference: iclr 2023 (main track)
Keywords: dropping intermediate tensors;dropping activations;activation compressed training;top-k;vision transformer;cnn
Decision: Poster
Title: Reparameterization through Spatial Gradient Scaling
Authors: Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lu, SHANGLING JUI, Di Niu
Affiliations: Huawei Kirin Solutions; University of Alberta; Huawei Technologies
Conference: iclr 2023 (main track)
Keywords: reparameterization;deep learning;convolutional neural networks;neural architectures
Decision: Poster
Title: Efficient Certified Training and Robustness Verification of Neural ODEs
Authors: Mustafa Zeqiri, Mark N Müller, Marc Fischer, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2023 (main track)
Keywords: Neural ODEs;Adversarial Robustness;Certified Robustness;Robustness Verification;Certified Training
Decision: Poster
Title: CoRTX: Contrastive Framework for Real-time Explanation
Authors: Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu
Affiliations: Rice University; Meta Platforms, Inc.
Conference: iclr 2023 (main track)
Keywords: Interpretability;explainability;real-time explanation;feature attribution;feature importance ranking
Decision: Poster
Title: Disentangling the Mechanisms Behind Implicit Regularization in SGD
Authors: Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Lipton
Affiliations: UC San Diego; Princeton University; Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: deep learning;generalization;implicit regularization;sgd
Decision: Poster
Title: Conditional Antibody Design as 3D Equivariant Graph Translation
Authors: Xiangzhe Kong, Wenbing Huang, Yang Liu
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University; Institute for AI Industry Research (AIR), Tsinghua University; Beijing Academy of Artificial Intelligence; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: conditional antibody generation;equivariant;multi-channel attention
Decision: Top-5%
Title: DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics
Authors: Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; MIT; UC San Diego; UMass Amherst, MIT-IBM Watson AI Lab; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Deformable Object Manipulation;Dexterous Manipulation;Differentiable Physics
Decision: Poster
Title: Boosting Causal Discovery via Adaptive Sample Reweighting
Authors: An Zhang, fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Affiliations: Sea-NExT Joint Lab, National University of Singapore; University of Science and Technology of China; National University of Singapore; Tsinghua University; Renmin University of China
Conference: iclr 2023 (main track)
Keywords: Causal Structure Learning;Score-based Causal Discovery;Adaptive Sample Reweighting
Decision: Poster
Title: The Role of Coverage in Online Reinforcement Learning
Authors: Tengyang Xie, Dylan Foster, Yu Bai, Nan Jiang, Sham Kakade
Affiliations: Harvard University; Salesforce Research; UIUC; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: reinforcement learning theory;online RL;offline RL;learnability;general function approximation
Decision: Top-5%
Title: Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
Authors: Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng
Affiliations: Harbin Institute of Technology, Shenzhen; Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences
Conference: iclr 2023 (main track)
Keywords: Machine translation;Non-autoregressive generation;Fuzzy alignment
Decision: Poster
Title: Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Authors: Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
Affiliations: Purdue University; Rochester Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Adversarial Training;Monocular Depth Estimation;Adversarial Attack;Self-supervised Learning.
Decision: Top-25%
Title: How robust is unsupervised representation learning to distribution shift?
Authors: Yuge Shi, Imant Daunhawer, Julia E Vogt, Philip Torr, Amartya Sanyal
Conference: iclr 2023 (main track)
Keywords: distribution shift;OOD generalisation;spurious correlation;simplicity bias;SSL;unsupervised learning;auto-encoder
Decision: Poster
Title: Empowering Graph Representation Learning with Test-Time Graph Transformation
Authors: Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Affiliations: Snap Inc.; Michigan State University
Conference: iclr 2023 (main track)
Keywords: graph neural networks;out-of-distribution generalization;adversarial robustness
Decision: Poster
Title: Planning with Large Language Models for Code Generation
Authors: Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B Tenenbaum, Chuang Gan
Affiliations: The University of Hong Kong; MIT-IBM Watson AI Lab; MIT BCS, CBMM, CSAIL; UMass Amherst, MIT-IBM Watson AI Lab
Conference: iclr 2023 (main track)
Keywords: Large Language Model;Code Generation;Planning
Decision: Poster
Title: DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Authors: wei li, Linchao Zhu, Longyin Wen, Yi Yang
Affiliations: CCAI, Zhejiang University; ByteDance Inc., San Jose, USA
Conference: iclr 2023 (main track)
Keywords: Zero-shot captioning;Decoder training;Multi-modal learning
Decision: Poster
Title: Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Authors: Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Nguyen, Andrea Huber, Hamid Eghbalzadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger
Affiliations: Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz; Institute of Advanced Research in Artificial Intelligence; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz; Dynatrace Research; Software Competence Center Hagenberg
Conference: iclr 2023 (main track)
Keywords: Domain adaptation;parameter choice;model selection;aggregation;importance weighting
Decision: Top-5%
Title: Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models
Authors: Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
Affiliations: Department of Computer Science Technology, Tsinghua University, Beijing, China; Gaoling School of AI, Renmin University of China, Beijing, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Open-Vocabulary Object Detection upon Frozen Vision and Language Models
Authors: Weicheng Kuo, Yin Cui, Xiuye Gu, AJ Piergiovanni, Anelia Angelova
Affiliations: Google Research, Perception; Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: open-vocabulary recognition;object detection;vision and language
Decision: Poster
Title: A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
Authors: Xiang Hu, XinYu KONG, Kewei Tu
Affiliations: Ant Group; ShanghaiTech University
Conference: iclr 2023 (main track)
Keywords: Interpretability;natural language processing;text classification;unsupervised learning;structured language model;multiple instance learning;recursive neural network
Decision: Poster
Title: Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
Authors: Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov
Affiliations: VNIT Nagpur; Carnegie Mellon University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Latent-space models;objective mismatch;model based RL
Decision: Poster
Title: The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
Authors: Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Automation, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;unsupervised learning;data sharing
Decision: Poster
Title: Real-time variational method for learning neural trajectory and its dynamics
Authors: Matthew Dowling, Yuan Zhao, Il Memming Park
Affiliations: National Institute of Mental Health, USA; Stony Brook University, New York, USA; Champalimaud Research, Champalimaud Foundation, Portugal
Conference: iclr 2023 (main track)
Keywords: neural dynamics;neural trajectory;online variational inference
Decision: Top-25%
Title: SpeedyZero: Mastering Atari with Limited Data and Time
Authors: Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Qi Zhi Institute; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning System;Distributed Training;Model-Based Reinforcement Learning
Decision: Poster
Title: What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Authors: Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush Varshney, Sijia Liu
Affiliations: Michigan State University; Carnegie Mellon University; IBM Research; University of Minnesota
Conference: iclr 2023 (main track)
Keywords: invariant risk minimization;bi-level optimization
Decision: Poster
Title: Mass-Editing Memory in a Transformer
Authors: Kevin Meng, Arnab Sen Sharma, Alex J Andonian, Yonatan Belinkov, David Bau
Affiliations: MIT CSAIL; Technion – IIT; Northeastern University
Conference: iclr 2023 (main track)
Keywords: language models;GPT;transformers;model editing;factual associations;memory
Decision: Top-25%
Title: Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation
Authors: Younghyun Park, Wonjeong Choi, Soyeong Kim, Dong-Jun Han, Jaekyun Moon
Affiliations: Purdue University; Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2023 (main track)
Keywords: Active Learning;Object Detection;Uncertainty Estimation;Bayesian Learning
Decision: Poster
Title: Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
Authors: Jeremiah Zhe Liu, Krishnamurthy Dvijotham, Jihyeon Lee, Quan Yuan, Balaji Lakshminarayanan, Deepak Ramachandran
Affiliations: Google Research
Conference: iclr 2023 (main track)
Keywords: Uncertainty Quantification;Spurious Correlation;Active Learning
Decision: Poster
Title: On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
Authors: Zhijie Nie, Richong Zhang, Yongyi Mao
Affiliations: School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada; SKLSDE, Beihang University, Beijing, China; Zhongguancun Laboratory, Beijing, China; SKLSDE, Beihang University, Beijing, China; Shen Yuan Honors College, Beihang University, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Sentence representation learning;Contrastive learning;Alignment;Uniformity
Decision: Poster
Title: Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
Authors: Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu
Affiliations: Department of Automation, Tsinghua University, China; Beijing National Research Center for Information Science and Technology, China
Conference: iclr 2023 (main track)
Keywords: Neural network;explainable AI;optimizer.
Decision: Poster
Title: Scaffolding a Student to Instill Knowledge
Authors: Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Affiliations: ECE Department, Boston University, Boston, MA; Statistics Department, Carnegie Mellon University, Pittsburgh, PA
Conference: iclr 2023 (main track)
Keywords: knowledge distillation;tiny capacity student;large capacity teacher;budget constrained learning
Decision: Poster
Title: An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Authors: Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Bermano, Gal Chechik, Daniel Cohen-Or
Conference: iclr 2023 (main track)
Keywords: Personalized generation;text-to-image;inversion
Decision: Top-25%
Title: Learning Simultaneous Navigation and Construction in Grid Worlds
Authors: Wenyu Han, Haoran Wu, Eisuke Hirota, Alexander Gao, Lerrel Pinto, Ludovic Righetti, Chen Feng
Affiliations: New York University
Conference: iclr 2023 (main track)
Keywords: Navigation;Localization;Construction;Deep reinforcement learning;Representation learning
Decision: Poster
Title: Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
Authors: Guande He, Jianfei Chen, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua-Bosch Joint Center for ML, BNRist Center, State Key Lab for Intell. Tech. & Sys., Tsinghua University, Beijing, China; Pazhou Lab, Guangzhou, 510330, China; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua-Bosch Joint Center for ML, BNRist Center, State Key Lab for Intell. Tech. & Sys., Tsinghua University, Beijing, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
Authors: Heewon Kim, Kyoung Mu Lee
Affiliations: The Global School of Media, College of IT, Soongsil University, Korea; ASRI, Department of ECE, Seoul National University, Korea; IPAI, Seoul National University, Korea
Conference: iclr 2023 (main track)
Decision: Poster
Title: H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Authors: Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan
Affiliations: COWAROBOT Co. Ltd.; Zhejiang University; Shanghai AI Laboratory; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Oriented Object Detection;Rotated Object Detection
Decision: Poster
Title: Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
Authors: Bobby He, James Martens, Guodong Zhang, Aleksandar Botev, Andrew Brock, Samuel L Smith, Yee Whye Teh
Affiliations: University of Oxford; DeepMind; University of Oxford, DeepMind
Conference: iclr 2023 (main track)
Keywords: signal propagation;neural networks and kernels;deep transformers;self-attention;residual connections;layer normalisation;rank collapse;positional encoding
Decision: Poster
Title: Multimodal Analogical Reasoning over Knowledge Graphs
Authors: Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen
Affiliations: National University of Singapore; Zhejiang University, AZFT Joint Lab for Knowledge Engine
Conference: iclr 2023 (main track)
Keywords: knowledge graph;multimodal;analogical reasoning;prompt learning;pre-trained language model
Decision: Poster
Title: Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
Authors: Keyu Tian, Yi Jiang, qishuai diao, Chen Lin, Liwei Wang, Zehuan Yuan
Affiliations: Center for Data Science, Peking University; University of Oxford; Bytedance Inc
Conference: iclr 2023 (main track)
Keywords: Self-Supervised Learning;Masked Autoencoding;Masked Pre-training;Masked Modeling;Convolutional Neural Networks
Decision: Top-25%
Title: Simple Emergent Action Representations from Multi-Task Policy Training
Authors: Pu Hua, Yubei Chen, Huazhe Xu
Affiliations: Center for Data Science, New York University; Tsinghua University, Shanghai AI Lab, Shanghai Qi Zhi Institute; Tsinghua University, Shanghai Qi Zhi Institute
Conference: iclr 2023 (main track)
Keywords: action representation;reinforcement learning;representation learning
Decision: Poster
Title: LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Authors: Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
Affiliations: University of Maryland, College Park; Google Research
Conference: iclr 2023 (main track)
Keywords: Quantization;Model Compression;Sparsity;Pruning
Decision: Poster
Title: Human-Guided Fair Classification for Natural Language Processing
Authors: Florian Eddie Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin Vechev
Affiliations: University of Oxford; ETH Zurich, MPI for Intelligent Systems, Tübingen; ETH Zurich
Conference: iclr 2023 (main track)
Keywords: Individual Fairness;Style Transfer;NLP;Crowdsourcing;Human Evaluation
Decision: Top-25%