hunoutl/paperlists huggingface dataset:
Title: Confidence-based Reliable Learning under Dual Noises
Authors: Peng Cui, Yang Yue, Zhijie Deng, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua University, Beijing, 100084 China; Qing Yuan Research Institute, Shanghai Jiao Tong University; Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University, Beijing, 100084 China
Conference: nips 2022 (main track)
Keywords: Noisy data;model uncertainty
Decision: Poster
Title: Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Authors: Xinyun Zhu, Yu Qi, Gang Pan, Yueming Wang
Affiliations: Afﬁliated Mental Health Center & Hangzhou Seventh People’s Hospital and the MOE Frontier Science Center for Brain Science and Brain-machine Integration, Zhejiang University School of Medicine, Hangzhou, China; The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China; Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: Brain-machine-interface;Bayesian filter;state-space model;evolutionary computation
Decision: Poster
Title: Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Authors: Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
Affiliations: Department of Automation, Shanghai Jiao Tong University; Computer Science and Engineering, University of California, Santa Cruz; ESAT-STADIUS, KU Leuven
Conference: nips 2022 (main track)
Keywords: adversarial defense;black-box attack;model calibration;score-based query attack
Decision: Poster
Title: MorphTE: Injecting Morphology in Tensorized Embeddings
Authors: Guobing Gan, Peng Zhang, Sunzhu Li, Xiuqing Lu, Benyou Wang
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2022 (main track)
Keywords: word embeddings;compression;morpheme;tensor product
Decision: Poster
Title: Estimating graphical models for count data with applications to single-cell gene network
Authors: Feiyi Xiao, Junjie Tang, Huaying Fang, Ruibin Xi
Affiliations: Beijing Advanced Innovation Center for Imaging Theory and Technology, Capital Normal University; School of Mathematical Sciences, Peking University; School of Mathematical Sciences, Center for Statistical Science, Peking University
Conference: nips 2022 (main track)
Keywords: Convergence rate;Graphical model;Network inference;Poisson log-normal model;Probabilistic Methods;Single-cell RNA-Seq.
Decision: Poster
Title: MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching
Authors: Yan Huang, Yuming Wang, Yunan Zeng, Liang Wang
Affiliations: Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences (CASIA), School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS), Chinese Academy of Sciences Artificial Intelligence Research (CAS-AIR)
Conference: nips 2022 (main track)
Keywords: image-text matching;multimodal knowledge
Decision: Poster
Title: Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
Authors: Akshay Mete, Rahul Singh, P. R. Kumar
Affiliations: Indian Institute of Science, Bengaluru, Karnataka, India; Texas A & M University, College Station, Texas, USA
Conference: nips 2022 (main track)
Keywords: adaptive control;reinforcement learning;LQG systems
Decision: Poster
Title: Parameter-Efficient Masking Networks
Authors: Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu
Affiliations: Khoury College of Computer Science, Northeastern University; Department of Electrical and Computer Engineering, Northeastern University; School of Information, Rochester Institute of Technology
Conference: nips 2022 (main track)
Keywords: Random weights representative capacity;A new network compression paradigm
Decision: Poster
Title: Overparameterization from Computational Constraints
Authors: Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang
Affiliations: University of Virginia; Princeton University; University of Wisconsin, Madison; UC Berkeley and NTT Research; UC Berkeley
Conference: nips 2022 (main track)
Keywords: Large models;Robustness;Adversarial examples;Computational hardness
Decision: Poster
Title: FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Authors: Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Wegner, Konrad Schindler
Affiliations: LMU Munich; ETH Zurich & University of Zurich; ETH Zurich
Conference: nips 2022 (main track)
Keywords: efficient ensembles;subnetwork;feature-wise linear modulation;uncertainty;robustness
Decision: Poster
Title: Multiview Human Body Reconstruction from Uncalibrated Cameras
Authors: Zhixuan Yu, Linguang Zhang, Yuanlu Xu, Chengcheng Tang, LUAN TRAN, Cem Keskin, Hyun Soo Park
Affiliations: Meta Reality Labs; University of Minnesota; Meta Reality Labs Research
Conference: nips 2022 (main track)
Keywords: 3D human body reconstruction;Multiview;Uncalibrated;Fusion;Dense keypoints
Decision: Poster
Title: Less-forgetting Multi-lingual Fine-tuning
Authors: Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao
Affiliations: Microsoft Research Asia; Zhejiang University; Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Multi-lingual Language  Models;Multi-lingual Fine-tuning;Less-forgetting
Decision: Poster
Title: OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
Authors: Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin
Affiliations: ; Microsoft Research; Los Alamos National Laboratory, The Pennsylvania State University; Los Alamos National Laboratory, Michigan State University; Los Alamos National Laboratory, Rutgers University; Los Alamos National Laboratory
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Seismic Full Waveform Inversion;Data-driven Approach
Decision: Poster
Title: Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Authors: Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Affiliations: AI Lab, School of Engineering, Westlake University; College of Computer Science and Technology, Zhejiang University; AI Lab, School of Engineering, Westlake University
Conference: nips 2022 (main track)
Keywords: Graph Structure Augmentation;Graph Neural Networks;Graph Knowledge Distillation
Decision: Poster
Title: A Theoretical Framework for Inference Learning
Authors: Nick Alonso, Beren Millidge, Jeffrey Krichmar, Emre O Neftci
Affiliations: Department of Cognitive Science, UC Irvine; MRC Brain Network Dynamics Unit, University of Oxford; Department of Cognitive Science, UC Irvine; Electrical Engineering and Information Technology, RWTH Aachen, Germany; Peter Grünberg Institute, Forschungszentrum Jülich, Germany
Conference: nips 2022 (main track)
Keywords: Predictive Coding;Backpropagation;Synaptic Plasticity;Local Learning;Inference Learning
Decision: Poster
Title: Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation
Authors: Milton Montero, Jeffrey Bowers, Rui Ponte Costa, Casimir Ludwig, Gaurav Malhotra
Affiliations: School of Psychological Science, University of Bristol; Department of Compute Science, University of Bristol
Conference: nips 2022 (main track)
Keywords: Combinatorial Generalisation;Disentanglement;Generative Models;Representation Learning
Decision: Poster
Title: Anticipating Performativity by Predicting from Predictions
Authors: Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen; University of Michigan; University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: performative prediction;performativity;causal identifiability;supervised learning;domain adaptation;concept shift;social impact
Decision: Poster
Title: ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Authors: Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel
Affiliations: Meta AI, London, United Kingdom; UCL Centre for Artiﬁcial Intelligence, London, United Kingdom; School of Informatics, University of Edinburgh, Edinburgh, United Kingdom; Amazon Web Services, Berlin, Germany
Conference: nips 2022 (main track)
Keywords: knowledge graph completion;link prediction;multi-relational graphs;graph neural networks;inductive reasoning
Decision: Poster
Title: Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Authors: Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao
Affiliations: Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Xiamen University, China; JD Explore Academy, Beijing, China; The University of Sydney, Australia; JD Explore Academy, Beijing, China
Conference: nips 2022 (main track)
Keywords: Sharpness-Aware Minimization;Fisher information;Dynamic sparse training
Decision: Poster
Title: You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
Authors: Jiangxin Sun, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, Jian-Fang Hu
Affiliations: Microsoft Research Asia; Sun Yat-sen University; Peking University
Conference: nips 2022 (main track)
Keywords: 3D dance generation;music conditioned human motion prediction
Decision: Poster
Title: On A Mallows-type Model For (Ranked) Choices
Authors: Yifan Feng, Yuxuan Tang
Affiliations: Department of Analytics and Operations, NUS Business School; Institute of Operations Research and Analytics, National University of Singapore
Conference: nips 2022 (main track)
Keywords: probabilistic ranking models;Mallows model;preference learning;choice modeling;top-$k$ list
Decision: Poster
Title: E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
Authors: Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu
Affiliations: Stanford University; IIIS, Tsinghua University; Shanghai Qi Zhi Institute; Mila, Université de Montréal; Southeast University
Conference: nips 2022 (main track)
Keywords: multi-agent reinforcement learning;program guided agents;long-horizon tasks
Decision: Poster
Title: Graph Reordering for Cache-Efficient Near Neighbor Search
Authors: Benjamin Coleman, Santiago Segarra, Alexander Smola, Anshumali Shrivastava
Affiliations: ECE Department, Rice University, Houston, TX 77005; Amazon Web Services; Department of Computer Science, Rice University, Houston, TX 77005
Conference: nips 2022 (main track)
Keywords: near-neighbor search;embedding search;graph ordering;machine learning systems
Decision: Poster
Title: Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Authors: Hongrui Cai, Wanquan Feng, Xuetao Feng, Yan Wang, Juyong Zhang
Affiliations: University of Science and Technology of China; Alibaba Group
Conference: nips 2022 (main track)
Keywords: Dynamic Reconstruction;Monocular RGB-D Reconstruction;Neural Implicit Function
Decision: Poster
Title: Self-explaining deep models with logic rule reasoning
Authors: Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Affiliations: IBS Data Science Group, KAIST School of Computing; KAIST School of Computing, IBS Data Science Group; Social Computing Group, Microsoft Research Asia
Conference: nips 2022 (main track)
Keywords: Self-explaining;Reasoning;Deep Learning;Interpretability
Decision: Poster
Title: Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning
Authors: Haibo Yang, Peiwen Qiu, Jia Liu
Affiliations: Dept. of ECE, The Ohio State University, Columbus, OH 43210
Conference: nips 2022 (main track)
Keywords: federated learning;optimization;heavy-tail;stochastic gradient descent;clipping
Decision: Poster
Title: LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation
Authors: Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim
Affiliations: School of Computing, KAIST; LG AI Research; University of California, Berkeley; School of Computing, KAIST; Kim Jaechul Graduate School of AI, KAIST; Discrete Mathematics Group, Institute for Basic Science (IBS); School of Computing, KAIST; Kim Jaechul Graduate School of AI, KAIST
Conference: nips 2022 (main track)
Keywords: offline learning from observation;learning from observation;imitation from observation;imperfect demonstration;imitation learning
Decision: Poster
Title: ReCo: Retrieve and Co-segment for Zero-shot Transfer
Authors: Gyungin Shin, Weidi Xie, Samuel Albanie
Affiliations: Coop. Medianet Innovation Center, Shanghai Jiao Tong University, China; Visual Geometry Group, University of Oxford, UK; Department of Engineering, University of Cambridge, UK
Conference: nips 2022 (main track)
Keywords: semantic segmentation;vision-language models;image retrieval;co-segmentation;zero-shot transfer
Decision: Poster
Title: Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Authors: Boaz Barak, Benjamin Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang
Affiliations: Hebrew University of Jerusalem; Harvard University; Microsoft Research; Microsoft Research & University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: deep learning;feature learning;parity;emergence;phase transitions
Decision: Poster
Title: Self-Explaining Deviations for Coordination
Authors: Hengyuan Hu, Samuel Sokota, David Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob Foerster
Affiliations: Mosaic ML; Carnegie Mellon University; Meta AI; FLAIR, University of Oxford; Stanford University; Meta AI & FLAIR, University of Oxford
Conference: nips 2022 (main track)
Keywords: multi-agent;planning;zero-shot coordination
Decision: Poster
Title: Empirical Gateaux Derivatives for Causal Inference
Authors: Michael Jordan, Yixin Wang, Angela Zhou
Affiliations: Department of Statistics, University of Michigan; Department of Data Sciences and Operations, University of Southern California; Department of EECS and Department of Statistics, University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: causal inference;double robustness;bias-adjustment;influence function;semiparametric;offline reinforcement learning
Decision: Highlighted
Title: ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
Authors: Andaç Demir, Baris Coskunuzer, Yulia Gel, Ignacio Segovia-Dominguez, Yuzhou Chen, Bulent Kiziltan
Affiliations: Novartis; Temple University; University of Texas at Dallas; University of Texas at Dallas, National Science Foundation; University of Texas at Dallas, Jet Propulsion Laboratory, Caltech
Conference: nips 2022 (main track)
Keywords: Drug discovery;topology-based graph classification;persistent homology
Decision: Poster
Title: BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
Authors: Jason Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, Jose Posada, John Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: biomedical;natural language processing;data-centric ai;language modeling
Decision: Poster
Title: Language Conditioned Spatial Relation Reasoning for 3D Object Grounding
Authors: Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev
Affiliations: Inria, École normale supérieure, CNRS, PSL Research University; IIIT Hyderabad
Conference: nips 2022 (main track)
Decision: Poster
Title: Robustness to Unbounded Smoothness of Generalized SignSGD
Authors: Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
Affiliations: Boston University; George Mason University; IBM T. J. Watson Research Center; Meta Platforms, Inc.
Conference: nips 2022 (main track)
Keywords: stochastic;optimization;noncovex;adam;transformer;clipping;signsgd;momentum;unbounded smoothness
Decision: Poster
Title: On the Symmetries of Deep Learning Models and their Internal Representations
Authors: Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge
Affiliations: Paciﬁc Northwest National Laboratory, Department of Mathematics, Colorado State University, Department of Mathematical Sciences, University of Texas, El Paso; Paciﬁc Northwest National Laboratory, Department of Mathematics, University of Washington, Department of Mathematics, Colorado State University; Paciﬁc Northwest National Laboratory
Conference: nips 2022 (main track)
Keywords: symmetry in deep learning;representation learning;representation similarity
Decision: Poster
Title: DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Authors: Kevin Bello, Bryon Aragam, Pradeep Ravikumar
Affiliations: Booth School of Business, University of Chicago, Chicago, IL 60637; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2022 (main track)
Keywords: structure learning;causal discovery;graphical models;continuous optimization;non-convex optimization;log-determinant;directed acyclic graphs
Decision: Poster
Title: Are All Losses Created Equal: A Neural Collapse Perspective
Authors: Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu
Affiliations: New York University; Ohio State University; University of Michigan; Google Research
Conference: nips 2022 (main track)
Keywords: Deep Learning;Neural Collapse;Loss Functions
Decision: Poster
Title: A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
Authors: Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song
Affiliations: University of Wisconsin-Madison; University of Washington, Seattle
Conference: nips 2022 (main track)
Keywords: acceleration;non-negative least squares;scale invariance
Decision: Poster
Title: KSD Aggregated Goodness-of-fit Test
Authors: Antonin Schrab, Benjamin Guedj, Arthur Gretton
Affiliations: Centre for Artificial Intelligence, University College London & Inria London; Gatsby Computational Neuroscience Unit, University College London; Centre for Artificial Intelligence, Gatsby Computational Neuroscience Unit, University College London & Inria London
Conference: nips 2022 (main track)
Keywords: kernel methods;goodness-of-fit;Stein methods;hypothesis testing
Decision: Poster
Title: A Direct Approximation of AIXI Using Logical State Abstractions
Authors: Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng
Affiliations: Australian National University, Canberra ACT 2601
Conference: nips 2022 (main track)
Keywords: AIXI;artificial general intelligence;higher-order logic;reinforcement learning;state abstraction;feature selection;binary decision diagrams
Decision: Poster
Title: A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments
Authors: Eirik Lund Flogard, Ole Jakob Mengshoel
Affiliations: Norwegian University of Science and Technology, Trondheim, Norway; Norwegian Labour Inspection Authority, Trondheim, Norway
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Occupational Health and Safety;Labour Inspections;Machine Learning;Checklists;Long Tailed Classification
Decision: Poster
Title: AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Authors: Lijun Zhang, Xiao Liu, Hui Guan
Affiliations: College of Information & Computer Sciences, University of Massachusetts Amherst, Amherst, MA, 01003
Conference: nips 2022 (main track)
Keywords: Applications: Multi-Task Learning;Infrastructure: Programming Framework for MTL
Decision: Poster
Title: Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Authors: Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, Venkatesh Babu R
Affiliations: Video Analytics Lab, Indian Institute of Science, Bengaluru, India
Conference: nips 2022 (main track)
Keywords: Long-Tailed Learning;Class-Imbalanced Learning;Saddle Points
Decision: Poster
Title: Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
Authors: Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel
Affiliations: UC Berkeley, Covariant; UC Berkeley, Meta AI; NYU, Meta AI; UC Berkeley
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Unsupervised Learning
Decision: Poster
Title: Towards Improving Faithfulness in Abstractive Summarization
Authors: Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang
Affiliations: SDAIA-KAUST AI, Computational Bioscience Research Center, King Abdullah University of Science and Technology; University of Notre Dame, Computational Bioscience Research Center, King Abdullah University of Science and Technology; Ant Group; Computational Bioscience Research Center, King Abdullah University of Science and Technology
Conference: nips 2022 (main track)
Keywords: summarization;faithfulness
Decision: Poster
Title: CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
Authors: Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee
Affiliations: KAIST; LG AI Research
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Chemical structure recognition;Chemical image-to-structure translation;Molecular images atom-level instance annotations.
Decision: Poster
Title: Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Authors: WEICONG LIANG, YUHUI YUAN, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
Affiliations: Microsoft Research Asia; School of Mathematical Sciences, Peking University; Key Laboratory of Machine Perception (MOE), School of Intelligence Science and Technology, Peking University; ETH Zurich
Conference: nips 2022 (main track)
Keywords: Transformer;High-Resolution;Semantic Segmentation;Depth Estimation;Classification;Efficient Architecture
Decision: Poster
Title: Object-Category Aware Reinforcement Learning
Authors: Qi Yi, Rui Zhang, shaohui peng, Jiaming Guo, Xing Hu, Zidong Du, xishan zhang, Qi Guo, Yunji Chen
Affiliations: SKL of Processors, Institute of Computing Technology, CAS; University of Science and Technology of China; University of Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: reinforcement learning;object;unsupervised object discovery
Decision: Poster
Title: DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning
Authors: Yuko Ishiwaka, Xiao Zeng, Shun Ogawa, Donovan Westwater, Tadayuki Tone, Masaki Nakada
Affiliations: SoftBank Corp., Japan; NeuralX Inc., USA
Conference: nips 2022 (main track)
Keywords: Bio-inspired;Fish Schooling;Physically Based Simulation;Deep Reinforcement Learning;Adaptive
Decision: Poster