hunoutl/paperlists huggingface dataset:
Title: On the Stochastic Stability of Deep Markov Models
Authors: Jan Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar
Affiliations: Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA; Paciﬁc Northwest National Laboratory, Richland, Washington, USA
Conference: nips 2021 (main track)
Keywords: markov models;deep neural networks;stochastic stability;dynamical systems
Decision: Poster
Title: Identifying and Estimating Causal Effects under Weak Overlap by Generative Prognostic Model
Affiliations: Afﬁliation
Conference: nips 2021 (main track)
Keywords: VAE;variational autoencoder;balanced representation Learning;treatment effects;causal inference;identifiability;identification;CATE;ATE;weak overlap;limited overlap;Prognostic Model;Prognostic score
Decision: Reject
Title: Debiased Visual Question Answering from Feature and Sample Perspectives
Authors: Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu
Affiliations: School of Software Engineering, South China University of Technology, China; Key Laboratory of Big Data and Intelligent Robot (South China University of Technology), Ministry of Education; School of Software Engineering, South China University of Technology, China; PengCheng Laboratory, China; School of Software Engineering, South China University of Technology, China; School of Computer Science, University of Adelaide
Conference: nips 2021 (main track)
Keywords: Visual Question Answering;Debiased;Bias Detection
Decision: Poster
Title: Manipulating SGD with Data Ordering Attacks
Authors: I Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat Erdogdu, Ross J Anderson
Affiliations: University of Cambridge & University of Toronto & Vector Institute; University of Toronto & Vector Institute; University of Cambridge; University of Cambridge & University of Edinburgh
Conference: nips 2021 (main track)
Keywords: adversarial machine learning;training time attacks;attacks on sgd;poisoning;backdoors
Decision: Poster
Title: An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
Authors: Ramakrishna Vedantam, David Lopez-Paz, David Schwab
Affiliations: FAIR, New York; FAIR, Paris; ITS, CUNY Grad Center, FAIR, New York
Conference: nips 2021 (main track)
Keywords: Domain Generalization;Empirical Risk;Generalization Measures;Deep Learning;OOD;Implicit Bias
Decision: Poster
Title: Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Authors: Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan
Affiliations: Google Research & Tel Aviv University; Cornell University; Google & Courant Institute; Google Research
Conference: nips 2021 (main track)
Keywords: Sample complexity;Agnostic learning;low rank MDP;RL theory
Decision: Spotlight
Title: De-randomizing MCMC dynamics with the diffusion Stein operator
Authors: Zheyang Shen, Markus Heinonen, Samuel Kaski
Affiliations: Helsinki Institute for Information Technology, HIIT, Department of Computer Science, Aalto University, Finland; Helsinki Institute for Information Technology, HIIT, Department of Computer Science, Aalto University, Finland and Department of Computer Science, University of Manchester
Conference: nips 2021 (main track)
Keywords: Stein's method;MCMC dynamics;particle variational inference
Decision: Poster
Title: TopicNet: Semantic Graph-Guided Topic Discovery
Authors: Zhibin Duan, Yi.shi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin; National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China
Conference: nips 2021 (main track)
Keywords: Order Embeddings;Gaussian Embeddings;Knowledge Graph;Hierarchical Topic Models;Gamma Belief Network
Decision: Poster
Title: When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
Authors: Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo
Affiliations: University of Illinois at Urbana-Champaign, IL, USA; University of Minnesota - Twin Cities, MN, USA; Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China
Conference: nips 2021 (main track)
Keywords: deep learning theory;narrow;small neural networks;optimization;memorization;deep learning;neural networks
Decision: Poster
Title: KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Authors: Pierre Glaser, Michael Arbel, Arthur Gretton
Affiliations: Université Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France; Gatsby Computational Neuroscience Unit, University College London
Conference: nips 2021 (main track)
Keywords: Generative Models;Kernel Methods;Optimal Transportation;Probability Divergences
Decision: Poster
Title: 3DP3: 3D Scene Perception via Probabilistic Programming
Authors: Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash Mansinghka
Affiliations: MIT-IBM Watson AI Lab; MIT
Conference: nips 2021 (main track)
Keywords: probabilistic programming;approximate inference;scene understanding;object pose estimation
Decision: Poster
Title: On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Authors: Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao
Affiliations: Microsoft, India; The University of Sydney, Australia
Conference: nips 2021 (main track)
Keywords: Riemannian optimization;Riemannian manifold;Symmetric Positive Definite;Bures-Wasserstein;Affine-Invariant;geodesic convexity;non-negative curvature
Decision: Poster
Title: TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Authors: Aljaz Bozic, Pablo Palafox, Justus Thies, Angela Dai, Matthias Niessner
Affiliations: Technical University of Munich; Technical University of Munich, Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: nips 2021 (main track)
Keywords: 3d reconstruction;3d vision;3d scenes;3d from x
Decision: Poster
Title: Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Authors: Shicong Cen, Yuting Wei, Yuejie Chi
Affiliations: Carnegie Mellon University; University of Pennsylvania
Conference: nips 2021 (main track)
Keywords: zero-sum matrix game;zero-sum Markov game;entropy regularization;global convergence;multiplicative updates;extragradient methods
Decision: Poster
Title: Random Noise Defense Against Query-Based Black-Box Attacks
Authors: Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
Affiliations: School of Data Science, Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: Black-Box Defense;Black-Box Attacks;Adversarial Robustness
Decision: Poster
Title: Grounding Spatio-Temporal Language with Transformers
Authors: Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer
Affiliations: Inria - Flowers team, Université de Bordeaux, ENSTA ParisTech; Microsoft Research, Cambridge, UK; Inria - Flowers Team, Université de Bordeaux
Conference: nips 2021 (main track)
Keywords: Language Grounding;Embodied Autonomous Agents
Decision: Poster
Title: Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Authors: Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith Hengen, Michal Valko, Eva Dyer
Affiliations: Washington Univ. in St. Louis; DeepMind; Georgia Tech
Conference: nips 2021 (main track)
Keywords: Generative modeling;Self-supervised learning;Neural decoding;Neural population activity;Representation learning
Decision: Oral
Title: Learning Distilled Collaboration Graph for Multi-Agent Perception
Authors: Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang
Affiliations: New York University; Rutgers University; Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: knowledge distillation;matrix-valued weighted graph;multi-agent perception;3d object detection
Decision: Poster
Title: Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Authors: Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
Affiliations: Seoul National University, Neural Processing Research Center, DeepMetrics; Seoul National University, Neural Processing Research Center
Conference: nips 2021 (main track)
Keywords: Offline Reinforcement Learning
Decision: Poster
Title: Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Authors: Feng Zhu, Andrew Sedler, Harrison A Grier, Nauman Ahad, Mark Davenport, Matthew Kaufman, Andrea Giovannucci, Chethan Pandarinath
Affiliations: Computational Neuroscience Graduate Program, The University of Chicago; Joint Dept. of Biomedical Engineering, UNC Chapel Hill and NC State University; Dept. of Organismal Biology and Anatomy, The University of Chicago; Neuroscience Graduate Program, Emory University; Coulter Dept. of Biomedical Engineering, Emory University and Georgia Tech; School of Electrical and Computer Engineering, Georgia Tech; Center for Machine Learning, Georgia Tech
Conference: nips 2021 (main track)
Keywords: Computational neuroscience;Systems neuroscience;Neural population dynamics;intermittent sampling;Electrophysiology;Calcium imaging;Brain-computer interfaces;Neuroscience;Neuroprosthetics;Neural coding;Motor control;Sequential autoencoders
Decision: Poster
Title: Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
Authors: Mohamad Amin Sharifi Kolarijani, Gyula Max, Peyman Mohajerin Esfahani
Affiliations: Delft Center for Systems and Control, Delft University of Technology, The Netherlands
Conference: nips 2021 (main track)
Keywords: Stochastic optimal control;value iteration;input-affine systems;Fenchel duality;computational complexity.
Decision: Poster
Title: On the interplay between data structure and loss function in classification problems
Authors: Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
Affiliations: Department of Physics, École Normale Supérieure, Paris; Facebook AI Research, Paris; Department of Physics, École Normale Supérieure, Paris; Facebook AI Research, Paris; New York University, New York; Flatiron Institute, New York
Conference: nips 2021 (main track)
Keywords: loss function;generalization;overparametrization;double descent;random features
Decision: Poster
Title: Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Authors: Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington; Department of Statistics, University of Washington
Conference: nips 2021 (main track)
Keywords: sample complexity;precision-recall;generative modeling;divergence frontiers
Decision: Poster
Title: Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Authors: Feng Liu, Xiaoming Liu
Affiliations: Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824
Conference: nips 2021 (main track)
Keywords: 3D voxel features;Monocular 3D detection and reconstruction;Multiple objects;Local PCA-SDF
Decision: Poster
Title: Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic
Authors: Atsushi Suzuki, Atsushi Nitanda, jing wang, Linchuan Xu, Kenji Yamanishi, Marc Cavazza
Affiliations: The Hong Kong Polytechnic University, Hong Kong SAR, China; The University of Tokyo, Tokyo, Japan; National Institute of Informatics, Tokyo, Japan; University of Greenwich, London, United Kingdom; Kyushu Institute of Technology, Fukuoka, Japan
Conference: nips 2021 (main track)
Keywords: Graph embedding;Poincare embedding;hyperbolic space;negative sampling;generalization error;statistical learning theory;Rademacher complexity
Decision: Poster
Title: SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
Authors: Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
Affiliations: University of Nevada, Reno; Microsoft
Conference: nips 2021 (main track)
Keywords: adaptive batching;large batch size;gradient similarity measure;gradient variance;gradient noise;large scale training
Decision: Poster
Title: Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
Authors: Aliakbar Panahi, Seyran Saeedi, Tom Arodz
Affiliations: Department of Computer Science, Virginia Commonwealth University, Richmond, VA; Dept. of Electrical and Computer Engineering, University of California, Santa Barbara, CA; Department of Computer Science, Virginia Commonwealth University, Richmond, VA; C3 AI, Redwood City, CA; Department of Computer Science, Virginia Commonwealth University, Richmond, VA
Conference: nips 2021 (main track)
Keywords: Transformer;matrix factorization;Kronecker product;compact models
Decision: Poster
Title: Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Authors: Kwanyoung Kim, Jong Chul Ye
Affiliations: Department of Bio and Brain Engineering, Kim Jaechul Graduate School of AI, Deptartment of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2021 (main track)
Keywords: Self-supervised image denoising;Tweedie's formula;The score function;Noises from general exponential family
Decision: Poster
Title: Topology-Imbalance Learning for Semi-Supervised Node Classification
Authors: Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Affiliations: Pattern Recognition Center, WeChat AI, Tencent Inc., China; MOE Key Lab of Computational Linguistics, School of EECS, Peking University
Conference: nips 2021 (main track)
Keywords: node classification;topology imbalance learning;semi-supervised learning;graph neural network
Decision: Poster
Title: Active Offline Policy Selection
Authors: Ksenia Konyushova, Yutian Chen, Thomas Paine, Caglar Gulcehre, Cosmin Paduraru, Daniel Mankowitz, Misha Denil, Nando de Freitas
Affiliations: DeepMind
Conference: nips 2021 (main track)
Keywords: policy selection;offline reinforcement learning;off-policy policy evaluation;active learning;Bayesian optimisation
Decision: Poster
Title: LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptation Semantic Segmentation
Affiliations: State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430074, China
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Land-cover mapping;Unsupervised domain adaptation;Semantic segmentation
Decision: Reject
Title: End-to-end reconstruction meets data-driven regularization for inverse problems
Authors: Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
Affiliations: Department of Mathematics, KTH–Royal institute of Technology, Sweden; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
Conference: nips 2021 (main track)
Keywords: inverse problems;data-driven regularization;iterative unrolling;adversarial learning
Decision: Poster
Title: Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Authors: Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke
Affiliations: MIT-IBM Watson AI Lab; Rensselaer Polytechnic Institute; IBM Research
Conference: nips 2021 (main track)
Keywords: Few-shot-learning;Knowledge distillation
Decision: Poster
Title: Hard-Attention for Scalable Image Classification
Authors: Athanasios Papadopoulos, Pawel Korus, Nasir Memon
Affiliations: Tandon School of Engineering, New York University and AGH University of Science and Technology; Tandon School of Engineering, New York University
Conference: nips 2021 (main track)
Keywords: classification;hard-attention;multi-scale;scalability;high-resolution;interpretability
Decision: Poster
Title: Parameterized Knowledge Transfer for Personalized Federated Learning
Authors: Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
Affiliations: Department of Computer Science and Technology, HUST; Department of Computing, The Hong Kong Polytechnic University
Conference: nips 2021 (main track)
Keywords: Personalized Federated Learning;Knowledge Transfer;Parameterized Distillation
Decision: Poster
Title: Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Authors: Alberto Maria Metelli, Alessio Russo, Marcello Restelli
Affiliations: DEIB, Politecnico di Milano
Conference: nips 2021 (main track)
Keywords: Importance Sampling;Off-Policy Evaluation;Off-Policy Learning;Subgaussian
Decision: Spotlight
Title: Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Authors: Michael Iuzzolino, Michael Mozer, Samy Bengio
Affiliations: Google Research, Brain Team; Currently at Apple; Google Research, Brain Team; Department of Computer Science, University of Colorado; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: cascaded networks;anytime prediction;parallel networks;biologically inspired computing;speed-accuracy trade off;noise robustness;cognitive neuroscience;temporal difference methods
Decision: Poster
Title: An Empirical Study of Adder Neural Networks for Object Detection
Authors: Xinghao Chen, Chang Xu, Minjing Dong, Chunjing XU, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; School of Computer Science, University of Sydney; Huawei Noah’s Ark Lab, School of Computer Science, University of Sydney
Conference: nips 2021 (main track)
Keywords: Object Detection;Adder Neural Networks
Decision: Poster
Title: Challenges and Opportunities in High Dimensional Variational Inference
Authors: Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Andersen, Jonathan Huggins, Aki Vehtari
Affiliations: Boston University; Aalto University; Technical University of Denmark; Aalto University, Silo AI
Conference: nips 2021 (main track)
Keywords: Variational Inference;BBVI;Importance Sampling;Divergences;Pre-asymptotics
Decision: Poster
Title: Neural Dubber: Dubbing for Videos According to Scripts
Authors: Chenxu Hu, Qiao Tian, Tingle Li, Wang Yuping, Yuxuan Wang, Hang Zhao
Affiliations: IIIS, Tsinghua University/Shanghai Qi Zhi Institute; IIIS, Tsinghua University; ByteDance
Conference: nips 2021 (main track)
Keywords: text to speech;speech;audio-visual;synchronization;multi-modal
Decision: Poster
Title: Decoupling the Depth and Scope of Graph Neural Networks
Authors: Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen
Affiliations: Facebook AI; US ARL; Peking University, BIGAI; USC
Conference: nips 2021 (main track)
Keywords: Graph Representation Learning;Subgraph Mining;Expressive Power;Scalability
Decision: Poster
Title: Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Authors: Kristopher Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin
Affiliations: Department of Engineering, University of Cambridge
Conference: nips 2021 (main track)
Keywords: neuroscience;GPFA;latent variable models;motor control;neural dynamics;neural data analysis;variational inference
Decision: Poster
Title: Rate-Optimal Subspace Estimation on Random Graphs
Authors: Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang
Affiliations: Cognitive Computing Lab, Baidu Research; Department of Management Sciences, City University of Hong Kong; Department of Statistics, Rutgers University
Conference: nips 2021 (main track)
Keywords: bipartite graph;network analysis;singular value thresholding;minimax theory
Decision: Poster
Title: Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Authors: Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Bjorn Ommer
Affiliations: University of Toronto, Vector; IWR, Heidelberg University; University of Washington; LMU Munich & IWR, Heidelberg University; MIT, University of Toronto, Vector
Conference: nips 2021 (main track)
Keywords: Deep Metric Learning;Representation Learning;Transfer Learning;Zero-Shot Generalization;Out-of-Distribution Generalization
Decision: Poster
Title: Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Authors: Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik
Affiliations: EECS Department, UC Berkeley; Computer Science Department, Carnegie Mellon University, Optimized Markets, Inc., Strategic Machine, Inc., Strategy Robot, Inc.; School of Computer Science, Carnegie Mellon University; Computer Science Department, Carnegie Mellon University
Conference: nips 2021 (main track)
Keywords: Automated algorithm configuration;automated algorithm design;data-driven algorithm design;integer programming;tree search;branch-and-bound;branch-and-cut;cutting planes;Chvátal-Gomory cuts;machine learning theory;sample complexity;generalization guarantees
Decision: Spotlight
Title: Batch Normalization Orthogonalizes Representations in Deep Random Networks
Authors: Hadi Daneshmand, Amir Joudaki, Francis Bach
Affiliations: INRIA Paris; ETH Zurich; INRIA-ENS-PSL Paris
Conference: nips 2021 (main track)
Keywords: Batch normalization;Theory of deep neural networks;Markov chains;Random Neural Networks;Optimization for neural networks
Decision: Spotlight
Title: ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Authors: Yufei Xu, Qiming ZHANG, Jing Zhang, Dacheng Tao
Affiliations: JD Explore Academy, China; The University of Sydney, Australia
Conference: nips 2021 (main track)
Keywords: Vision Transformer;Classification;Convolution;Inductive Bias
Decision: Poster
Title: MobILE: Model-Based Imitation Learning From Observation Alone
Authors: Rahul Kidambi, Jonathan Chang, Wen Sun
Affiliations: Amazon Search & AI, Berkeley CA 94704.; CS Department, Cornell University, Ithaca NY 14853.
Conference: nips 2021 (main track)
Keywords: Imitation Learning from Observation Alone;Imitation Learning;Imitation Learning Theory
Decision: Poster
Title: FLEX: Unifying Evaluation for Few-Shot NLP
Authors: Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy
Affiliations: Allen Institute for AI, Seattle, WA
Conference: nips 2021 (main track)
Keywords: benchmarks;evaluation;few-shot;zero-shot;nlp;prompt-based models;pretrained language models;statistical analysis
Decision: Poster
Title: Recognizing Vector Graphics without Rasterization
Authors: XINYANG JIANG, LU LIU, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
Affiliations: Microsoft Research Asia; The Hong Kong University of Science and Technology; University of Technology Sydney
Conference: nips 2021 (main track)
Keywords: Vector Graphics;Object Detection;Image Recognition
Decision: Poster
Title: TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Authors: Shun Lu, Jixiang Li, Jianchao Tan, Sen Yang, Ji Liu
Affiliations: Research Center for Intelligent Computing Systems, State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Kuaishou Technology
Conference: nips 2021 (main track)
Keywords: Neural Architecture Search;Predictor;Transformer;Self-evolution
Decision: Poster
Title: Distilling Object Detectors with Feature Richness
Authors: Du Zhixing, Rui Zhang, Ming Chang, xishan zhang, Shaoli Liu, Tianshi Chen, Yunji Chen
Affiliations: 2. SKL of Computer Architecture, Institute of Computing Technology, CAS, Beijing, China, 3. Cambricon Technologies, China; 1. University of Science and Technology of China, 2. SKL of Computer Architecture, Institute of Computing Technology, CAS, Beijing, China, 3. Cambricon Technologies, China; 3. Cambricon Technologies, China; 2. SKL of Computer Architecture, Institute of Computing Technology, CAS, Beijing, China, 4. University of Chinese Academy of Sciences, China
Conference: nips 2021 (main track)
Keywords: Knowledge Distillation； Object Detection
Decision: Poster