hunoutl/paperlists huggingface dataset:
Title: The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Authors: Jun CEN, Di Luan, Shiwei Zhang, Yixuan Pei, yingya zhang, Deli Zhao, Shaojie Shen, Qifeng Chen
Affiliations: Alibaba Group; Xi’an Jiaotong University; Cheng Kar-Shun Robotics Institute, The Hong Kong University of Science and Technology
Conference: iclr 2023 (main track)
Decision: Poster
Title: EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Authors: Yifu Yuan, Jianye HAO, Fei Ni, Yao Mu, YAN ZHENG, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
Affiliations: The University of Hong Kong; College of Intelligence and Computing, Tianjin University; Fuxi AI Lab, Netease, Inc., Hangzhou, China
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Unsupervised RL;Model-based RL
Decision: Poster
Title: Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Authors: Mansheej Paul, Feng Chen, Brett Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite
Affiliations: Stanford, Flatiron Institute; Google Research, Brain Team, Mila; McGill; Stanford, Meta AI; MosaicML, Harvard; Stanford
Conference: iclr 2023 (main track)
Keywords: linear mode connectivity;iterative magnitude pruning;loss landscape geometry;lottery ticket hypothesis;sparsity
Decision: Top-25%
Title: Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
Authors: Edward De Brouwer, Rahul G. Krishnan
Affiliations: Department of Computer Science, University of Toronto, Toronto, Canada; ESAT-STADIUS, KU Leuven, Leuven, Belgium
Conference: iclr 2023 (main track)
Keywords: Neural ODEs;Time Series;Orthogonal Polynomials;Long-term memory;Representation Learning
Decision: Poster
Title: ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
Authors: Olga Golovneva, Moya Chen, spencer poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
Conference: iclr 2023 (main track)
Keywords: step-by-step reasoning;evaluation
Decision: Top-25%
Title: Toward Adversarial Training on Contextualized Language Representation
Authors: Hongqiu Wu, Yongxiang Liu, Hanwen Shi, hai zhao, Min Zhang
Affiliations: School of Computer Science and Technology, Soochow University, Suzhou, China; Department of Computer Science and Engineering, Shanghai Jiao Tong University & Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: pre-trained language model;adversarial training
Decision: Poster
Title: Actionable Neural Representations: Grid Cells from Minimal Constraints
Authors: Will Dorrell, Peter Latham, Timothy Behrens, James Whittington
Affiliations: Gatsby Unit, UCL; Oxford & Stanford; UCL & Oxford
Conference: iclr 2023 (main track)
Keywords: Grid Cells;Representation Theory;Theoretical Neuroscience;Normative Models
Decision: Poster
Title: Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Authors: Lyndon Duong, Jingyang Zhou, Josue Nassar, Jules Berman, Jeroen Olieslagers, Alex Williams
Affiliations: Center for Computational Neuroscience, Flatiron Institute, New York, NY, 10010; Center for Neural Science, New York University, New York, NY, 10003
Conference: iclr 2023 (main track)
Keywords: stochastic neural networks;noise;representational geometry;dissimilarity metrics
Decision: Poster
Title: VA-DepthNet: A Variational Approach to Single Image Depth Prediction
Authors: Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool
Affiliations: CVL ETH Zürich; KU Leuven; UESTC China; University of Würzburg
Conference: iclr 2023 (main track)
Keywords: Single Image Depth Estimation;Variational Approach.
Decision: Top-25%
Title: BrainBERT: Self-supervised representation learning for intracranial recordings
Authors: Christopher Wang, Vighnesh Subramaniam, Adam Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
Affiliations: CBMM, Boston Children’s Hospital, Harvard Medical School; MIT CSAIL, CBMM, Boston Children’s Hospital, Harvard Medical School; MIT CSAIL, CBMM
Conference: iclr 2023 (main track)
Keywords: neuroscience;language models;self-supervision;transformer;decoding
Decision: Poster
Title: Bispectral Neural Networks
Authors: Sophia Sanborn, Christian Shewmake, Bruno Olshausen, Christopher Hillar
Affiliations: Awecom, Inc.; Redwood Center for Theoretical Neuroscience, University of California, Berkeley
Conference: iclr 2023 (main track)
Keywords: invariance;group theory;representation theory;geometry;representation learning;symmetry
Decision: Poster
Title: The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
Authors: Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie, Tomer Michaeli, Daniel Soudry
Affiliations: Electrical & Computer Engineering, Technion; Mathematical and Statistical Sciences, Marquette University
Conference: iclr 2023 (main track)
Keywords: Implicit bias;implicit regularization;stability;Hessian;dynamical systems;depth separation;approximation
Decision: Poster
Title: A Self-Attention Ansatz for Ab-initio Quantum Chemistry
Authors: Ingrid von Glehn, James Spencer, David Pfau
Affiliations: DeepMind
Conference: iclr 2023 (main track)
Keywords: Machine learning for science;attention;Transformers;Monte Carlo;MCMC;self-generative learning;quantum physics;chemistry;machine learning for physics;machine learning for molecules;machine learning for chemistry
Decision: Poster
Title: Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore
Authors: Guoyang Xie, Jinbao Wang, Jiaqi Liu, Yaochu Jin, Feng Zheng
Affiliations: NICE Group, University of Surrey, Guildford, GU2 7YX, United Kingdom; NICE Group, Bielefeld University, Bielefeld 33619, Germany; Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen 518055, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
Authors: Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao
Affiliations: University of Oxford; Institute for Artiﬁcial Intelligence, Peking University; School of Computer Science, Wuhan University; JD Explore Academy; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University
Conference: iclr 2023 (main track)
Keywords: few-shot class-incremental learning;neural collapse
Decision: Top-25%
Title: CFlowNets: Continuous Control with Generative Flow Networks
Authors: Yinchuan Li, Shuang Luo, haozhi wang, Jianye HAO
Affiliations: Zhejiang University, Huangzhou, China; Tianjin University, Tianjin, China; Huawei Noah’s Ark Lab, Beijing, China; Huawei Noah’s Ark Lab, Beijing, China and Tianjin University, Tianjin, China
Conference: iclr 2023 (main track)
Keywords: Continuous control tasks;Generative flow networks
Decision: Poster
Title: Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
Authors: Yingzhen Yang, Ping Li
Affiliations: LinkedIn Ads, 700 Bellevue Way NE, Bellevue, WA 98004, USA; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA
Conference: iclr 2023 (main track)
Keywords: Nonconvex Nonsmooth Optimization;Projective Proximal Gradient Descent;Kurdyka-Lojasiewicz Property;Optimal Convergence Rate.
Decision: Poster
Title: Evaluating Long-Term Memory in 3D Mazes
Authors: Jurgis Pašukonis, Timothy Lillicrap, Danijar Hafner
Affiliations: DeepMind, University College London; DeepMind, Verses Research Lab; DeepMind, University of Toronto
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Memory;Benchmark;Dataset;Representation Learning
Decision: Poster
Title: Latent Bottlenecked Attentive Neural Processes
Authors: Leo Feng, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed
Affiliations: Borealis AI; Mila – Université de Montréal & Borealis AI; Mila – Université de Montréal
Conference: iclr 2023 (main track)
Keywords: Neural Processes;Meta-Learning;Uncertainty Estimation
Decision: Poster
Title: Constructive TT-representation of the tensors given as index interaction functions with applications
Authors: Gleb Ryzhakov, Ivan Oseledets
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology and AIRI, Moscow, Russia
Conference: iclr 2023 (main track)
Keywords: Tensor approximation;Discrete multivariate functions;Tensor train decomposition;TT-Tucker format;Game theory;Combinatorial problems
Decision: Poster
Title: Rethinking skip connection model as a learnable Markov chain
Authors: Chen Dengsheng, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu
Affiliations: State Key Laboratory of Computer Science, ISCAS, University of Chinese Academy of Sciences, University of Macau; State Key Laboratory of Computer Science, ISCAS, University of Chinese Academy of Sciences; University of Chinese Academy of Sciences, Institute of Software Chinese Academy of Sciences; Meituan
Conference: iclr 2023 (main track)
Keywords: Language translation;image classification;transformer
Decision: Poster
Title: Learning Harmonic Molecular Representations on Riemannian Manifold
Authors: Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei YE, Hao Zhou
Affiliations: University of Wisconsin-Madison; Institute for AI Industry Research (AIR), Tsinghua University; ByteDance Research
Conference: iclr 2023 (main track)
Keywords: Riemannian manifold;molecular surface;harmonic analysis;functional map;binding site prediction;rigid protein docking
Decision: Poster
Title: Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats
Authors: Brian Chmiel, Ron Banner, Elad Hoffer, Hilla Ben-Yaacov, Daniel Soudry
Affiliations: Habana Labs – An Intel company, Caesarea, Israel; Department of Electrical Engineering - Technion, Haifa, Israel
Conference: iclr 2023 (main track)
Keywords: quantization;4bit;acceleration;compression
Decision: Poster
Title: Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth
Authors: Filipe Belbute-Peres, Zico Kolter
Affiliations: Carnegie Mellon University & Bosch Center for AI, Pittsburgh, PA; Carnegie Mellon University, Pittsburgh, PA
Conference: iclr 2023 (main track)
Keywords: sinusoidal;periodic;neural tangent kernel;implicit models;physics informed
Decision: Poster
Title: Complexity-Based Prompting for Multi-step Reasoning
Authors: Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
Affiliations: Allen Institute for AI; University of Edinburgh
Conference: iclr 2023 (main track)
Keywords: Chain-of-Thoughts;Multi-Step Reasoning;Large Language Models;Prompting
Decision: Poster
Title: Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
Authors: Jonas Landman, Slimane Thabet, Constantin Dalyac, Hela Mhiri, Elham Kashefi
Affiliations: University of Edinburgh; LIP6, Sorbonne Université; LIP6, Sorbonne Université; ENSTA Paris; University of Edinburgh; LIP6, Sorbonne Université; PASQAL SAS
Conference: iclr 2023 (main track)
Keywords: Quantum Machine Learning;Variational Quantum Circuits;Random Fourier Features;Kernel Approximation;Quantum Computing
Decision: Poster
Title: SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning
Authors: Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; Microsoft Research Asia; Carnegie Mellon University; Carnegie Mellon University, Mohamed bin Zayed University of AI
Conference: iclr 2023 (main track)
Keywords: Semi-Supervised Learning;Semi-Supervised Classification
Decision: Poster
Title: EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
Authors: Michael Crawshaw, Yajie Bao, Mingrui Liu
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA 22030, USA; School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: Non-convex optimization;federated learning;heterogeneous data;gradient clipping;relaxed smoothness
Decision: Poster
Title: Hybrid RL: Using both offline and online data can make RL efficient
Authors: Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun
Affiliations: Cornell University; Carnegie Mellon University; Microsoft Research; MIT
Conference: iclr 2023 (main track)
Keywords: reinforcement learning theory;hybrid reinforcement learning;online reinforcement learning;offline reinforcement learning
Decision: Poster
Title: AnyDA: Anytime Domain Adaptation
Authors: Omprakash Chakraborty, Aadarsh Sahoo, Rameswar Panda, Abir Das
Affiliations: IIT Kharagpur; MIT-IBM Watson AI Lab
Conference: iclr 2023 (main track)
Keywords: Efficient Domain Adaptation;Anytime Prediction;Knowledge Distillation;Resource-constrained Learning
Decision: Poster
Title: Learning in temporally structured environments
Authors: Matt Jones, Tyler Scott, Mengye Ren, Gamaleldin Elsayed, Katherine Hermann, David Mayo, Michael Mozer
Affiliations: Brain Team, Google Research; MIT; Brain Team, Google Research; University of Colorado; Brain Team, Google Research; NYU; Brain Team, Google Research
Conference: iclr 2023 (main track)
Keywords: 1/f noise;Kalman filter;neural network;learning theory;optimizers
Decision: Poster
Title: On the Soft-Subnetwork for Few-Shot Class Incremental Learning
Authors: Haeyong Kang, Jaehong Yoon, Sultan Madjid, Sung Ju Hwang, Chang Yoo
Affiliations: Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2023 (main track)
Keywords: Soft-subnetwork;Few-shot class incremental learning (FSCIL)
Decision: Poster
Title: Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
Authors: Yulhwa Kim, Jaeyong Jang, Jehun Lee, Jihoon Park, Jeonghoon Kim, Byeonguk Kim, baeseong park, Se Jung Kwon, Dongsoo Lee, jae-joon kim
Affiliations: NAVER Cloud; Seoul National University
Conference: iclr 2023 (main track)
Decision: Poster
Title: Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Authors: Matt Ricci, Noa Moriel, Zoe Piran, Mor Nitzan
Affiliations: School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel; School of Computer Science and Engineering, Racah Institute of Physics, Faculty of Medicine, The Hebrew University, Jerusalem, Israel
Conference: iclr 2023 (main track)
Keywords: dynamical systems;convolutional networks;computational physics;physics-informed
Decision: Top-25%
Title: Competitive Physics Informed Networks
Authors: Qi Zeng, Yash Kothari, Spencer Bryngelson, Florian Schaefer
Affiliations: School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2023 (main track)
Keywords: Physics informed learning;multi-agent games;Lagrange multipliers;partial differential equations
Decision: Poster
Title: Denoising Masked Autoencoders Help Robust Classification
Authors: QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He
Affiliations: Microsoft Research Asia; Peking University; National Key Lab of General AI, School of Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Keywords: self-supervised;certified robustness;randomized smoothing
Decision: Poster
Title: Minimax Optimal Kernel Operator Learning via Multilevel Training
Authors: Jikai Jin, Yiping Lu, Jose Blanchet, Lexing Ying
Affiliations: Management Science and Engineering, Stanford University, Stanford, CA, US; Institute for Computational & Mathematical Engineering, Stanford University, Stanford, CA, US; Department of Mathematics, Stanford University, Stanford, CA, US; School of Mathematical Sciences, Peking University, Beijing, China
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
Authors: Sravanti Addepalli, Anshul Hemant Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
Affiliations: Google Research India; Google Research India⋄Indian Institute of Science, Bangalore; Indian Institute of Science, Bangalore
Conference: iclr 2023 (main track)
Keywords: Simplicity Bias;Out-of-distribution robustness;OOD Generalization;Deep Learning
Decision: Poster
Title: Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
Authors: Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
Affiliations: Computer Science and Software Engineering, Penn State Erie; Department of Computer Science and Engineering, University at Buffalo
Conference: iclr 2023 (main track)
Keywords: Voronoi Diagram;Computational Geometry
Decision: Poster
Title: Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
Authors: Rui Wen, Zhengyu Zhao, Zhuoran Liu, Michael Backes, Tianhao Wang, Yang Zhang
Affiliations: Radboud University; CISPA Helmholtz Center for Information Security; University of Virginia
Conference: iclr 2023 (main track)
Keywords: Data poisoning;adversarial training;indiscriminative features;adaptive defenses;robust vs. non-robust features
Decision: Top-25%
Title: CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Authors: Huan LEI, Ruitao Leng, Liang Zheng, Hongdong Li
Affiliations: School of Computing, The Australian National University
Conference: iclr 2023 (main track)
Keywords: Meshing;3D Point Cloud;Point Cloud Triangulation;Surface Reconstruction;Geometry Processing
Decision: Poster
Title: PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Authors: Toygun Basaklar, Suat Gumussoy, Umit Ogras
Affiliations: UW-Madison, Madison, WI 53706; Siemens Corporate Technology, Princeton, NJ 08540
Conference: iclr 2023 (main track)
Keywords: multi-objective reinforcement learning;MORL;DDQN;TD3;HER;continuous control;robotics application
Decision: Poster
Title: FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Authors: Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J Su, James Y Zou
Affiliations: Rutgers University; Columbia University; University of Washington; Kaiser Permanente Washington Health Research Institute & University of Washington; Stanford University; University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: Fairness;Generalization
Decision: Poster
Title: Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
Authors: Arnob Ghosh, Xingyu Zhou, Ness Shroff
Affiliations: Electrical and Computer Engineering, The Ohio State University; Electrical and Computer Engineering, Wayne State University
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning Theory;Infinite horizon Average Reward;Theory of Constrained Reinforcement Learning;Linear MDP;Model-free RL;Soft-max
Decision: Poster
Title: Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
Authors: Fahad Sarfraz, Elahe Arani, Bahram Yoosefizonooz
Affiliations: Dep. of Mathematics and Computer Science, Eindhoven University of Technology, Netherlands; Advanced Research Lab, NavInfo Europe, Netherlands
Conference: iclr 2023 (main track)
Keywords: Continual Learning;Catastrophic Forgetting;Multi memory System;Experience Replay;Error-Sensitivity modulation;Brain inspired Algorithm;Representation Drift
Decision: Poster
Title: Energy-based Out-of-Distribution Detection for Graph Neural Networks
Authors: Qitan Wu, Yiting Chen, Chenxiao Yang, Junchi Yan
Affiliations: Department of CSE & MoE Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of CSE & MoE Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Lab
Conference: iclr 2023 (main track)
Keywords: graph neural networks;out-of-distribution detection;semi-supervised node classification;energy model
Decision: Poster
Title: Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Authors: Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss, Anuj Abhishek, Taufiquar Khan
Affiliations: Bosch ETAS Research, Germany, EU; Department of Computer Science, University of North Carolina at Charlotte, NC, USA; Department of Computer Science, University of Illinois Chicago, IL, USA; Department of Mathematics and Statistics, University of North Carolina at Charlotte, NC, USA
Conference: iclr 2023 (main track)
Keywords: Physics-informed neural networks;electrical impedance tomography;energy-based models
Decision: Poster
Title: PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Authors: Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
Affiliations: Carnegie Mellon University, Pittsburgh PA, USA; New York University, Abu Dhabi, UAE; Carnegie Mellon University, Pittsburgh PA, USA; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; Tsinghua University, Beijing, China
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting
Authors: Huiqiang Wang, Jian Peng, Feihu Huang, Jince Wang, Junhui Chen, Yifei Xiao
Affiliations: School of Computer Science and Engineering, University of Electronic Science and Technology of China, China; College of Computer Science, Sichuan University, China
Conference: iclr 2023 (main track)
Keywords: long-term forecasting;local and global context;multi-branch architecture;different potential patterns.
Decision: Top-5%
Title: Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Authors: Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
Affiliations: Departments of Biostatistics & Bioinformatics, Computer Science, Mathematics, and Statistical Science at Duke University; Department of Mathematics at Massachusetts Institute of Technology; Department of EECS at University of California, Berkeley; Microsoft Research and Machine Learning Department at Carnegie Mellon University; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: diffusion models;score-based generative models;sampling;score estimation;Langevin;stochastic differential equations
Decision: Top-5%
Title: 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images
Authors: Liuhao Ge, Hui Liang, Junsong Yuan, Daniel Thalmann
Affiliations: Institute for Media Innovation, Interdisciplinary Graduate School, Nanyang Technological University; Institute of High Performance Computing, A*STAR, Singapore
Conference: cvpr 2017 ( track)
Decision: Poster
Title: 3D Face Morphable Models âIn-The-Wildâ
Authors: James Booth, Epameinondas Antonakos, Stylianos Ploumpis, George Trigeorgis, Yannis Panagakis, Stefanos Zafeiriou
Affiliations: Imperial College London, UK and University of Oulu, Finland; Imperial College London, UK; Amazon, Berlin, Germany
Conference: cvpr 2017 ( track)
Decision: Spotlight
Title: 3D Menagerie: Modeling the 3D Shape and Pose of Animals
Authors: Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs, Michael J. Black
Affiliations: University of Maryland, College Park, MD; IMATI-CNR, Milan, Italy; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: cvpr 2017 ( track)
Decision: Spotlight
Title: A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Authors: Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai (Helen) Li
Affiliations: Electrical and Computer Engineering Department, Duke University, Durham, NC 27708; LG San Jose Lab, Santa Clara, CA 95054; Electrical and Computer Engineering Department, University of Pittsburgh, Pittsburgh, PA 15260
Conference: cvpr 2017 ( track)
Decision: Poster