hunoutl/paperlists huggingface dataset:
Title: ComSum: Commit Messages Summarization and Meaning Preservation
Affiliations: Department of Computer Science, Hebrew University of Jerusalem and Acumen Labs; Department of Computer Science, Hebrew University of Jerusalem
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Data set;dataset;summarization;abstractive;commits;subjects;developers;programming;comsum;cumsum;ComSum;natural language processing;data set
Decision: Reject
Title: Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Authors: Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
Affiliations: Max Planck Institute for Intelligent Systems Tübingen, University of Cambridge; Tübingen AI Center, University of Tübingen, IMPRS for Intelligent Systems; Max Planck Institute for Intelligent Systems Tübingen; Tübingen AI Center, University of Tübingen; Amazon
Conference: nips 2021 (main track)
Keywords: self-supervised learning;data augmentation;identifiability;nonlinear ICA;content style separation;causal representation learning;multi-view learning
Decision: Poster
Title: Optimal Best-Arm Identification Methods for Tail-Risk Measures
Authors: Shubhada Agrawal, Wouter Koolen, Sandeep Juneja
Affiliations: TIFR, Mumbai, India; CWI, Amsterdam
Conference: nips 2021 (main track)
Keywords: Multi-armed bandits;pure exploration;CVaR;VaR;tail-risk;heavy-tailed distributions;best-arm identification
Decision: Poster
Title: Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Authors: Jialun Zhang, Salar Fattahi, Richard Y Zhang
Affiliations: University of Illinois at Urbana–Champaign; University of Michigan
Conference: nips 2021 (main track)
Keywords: low-rank matrix factorization;matrix sensing;nonconvex optimization;semidefinite programming;gradient descent
Decision: Poster
Title: Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
Authors: Junjie Ma, Ji Xu, Arian Maleki
Affiliations: Department of Computer Science, Columbia University; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Department of Statistics, Columbia University
Conference: nips 2021 (main track)
Keywords: phase retrieval;compressed sensing;approximate message passing;statistical physics
Decision: Poster
Title: Understanding How Encoder-Decoder Architectures Attend
Authors: Kyle Aitken, Vinay Ramasesh, Yuan Cao, Niru Maheswaranathan
Affiliations: Google Research, Blueshift Team, Mountain View, California, USA; Department of Physics, University of Washington, Seattle, Washington, USA; Google, Inc., Mountain View, California, USA; Google Research, Brain Team, Mountain View, California, USA
Conference: nips 2021 (main track)
Keywords: Attention;NLP
Decision: Poster
Title: InfoGCL: Information-Aware Graph Contrastive Learning
Authors: Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
Affiliations: NEC Labs America; The Pennsylvania State University
Conference: nips 2021 (main track)
Keywords: Graph Representation Learning;Contrastive Learning;Information Bottleneck
Decision: Poster
Title: Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
Authors: Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvarinen
Affiliations: Laboratoire J. A. Dieudonné, Université Côte d’Azur, CNRS, 06100, Nice, France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Department of Computer Science, University of Helsinki, Finland; Department of Engineering, University of Cambridge, UK; Samovar, Télécom SudParis, département CITI, Institut Polytechnique de Paris, Palaiseau, France
Conference: nips 2021 (main track)
Keywords: nonlinear ICA;ICA;identifiable;disentanglement;representation learning;deep generative models;denoising
Decision: Poster
Title: SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
Authors: Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela Wood, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, UCLA, The Alan Turing Institute; University of Oxford, The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Causal Inference;Healthcare;Interpretability
Decision: Poster
Title: A Multi-Implicit Neural Representation for Fonts
Authors: Pradyumna Reddy, Zhifei Zhang, Zhaowen Wang, Matthew Fisher, Hailin Jin, Niloy Mitra
Affiliations: University College London, Adobe Research; University College London; Adobe Research
Conference: nips 2021 (main track)
Keywords: Font Generation;Generative Neural Networks;Implicit Neural Networks
Decision: Poster
Title: Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Authors: Xu-Hui Liu, Zhenghai Xue, Jingcheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
Conference: nips 2021 (main track)
Keywords: reinforcement learning;experience replay
Decision: Poster
Title: A Stochastic Newton Algorithm for Distributed Convex Optimization
Authors: Brian Bullins, Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake Woodworth
Affiliations: Weizmann Institute of Science; Toyota Technological Institute at Chicago
Conference: nips 2021 (main track)
Keywords: Distributed Optimization;Stochastic Optimization;Federated Learning;Newton's Method
Decision: Poster
Title: Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Authors: Julien Grand-Clément, Christian Kroer
Affiliations: ISOM Department, HEC Paris; IEOR Department, Columbia University
Conference: nips 2021 (main track)
Keywords: Saddle-point;Distributionally Robust Optimization;Regret Minimizer;Parameter-Free Algorithm;Blackwell Approachability;Regret Matching
Decision: Poster
Title: Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Authors: Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, Liwei Wang
Affiliations: Microsoft Research Asia; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University; Zhejiang Lab
Conference: nips 2021 (main track)
Keywords: semantic segmentation;semi-supervised learning;adaptive equalization learning
Decision: Spotlight
Title: Accelerating Quadratic Optimization with Reinforcement Learning
Authors: Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph Gonzalez, Ion Stoica, Ken Goldberg
Affiliations: ETH Zürich; Princeton University; University of California, Berkeley
Conference: nips 2021 (main track)
Keywords: quadratic optimization;convex optimization;first-order methods;reinforcement learning for optimization
Decision: Poster
Title: Indexed Minimum Empirical Divergence for Unimodal Bandits
Authors: Hassan SABER, Pierre Ménard, Odalric-Ambrym Maillard
Affiliations: Université de Lille, Inria, CNRS, Centrale Lille UMR 9189 – CRIStAL, F-59000 Lille, France; Otto von Guericke Universität Magdeburg
Conference: nips 2021 (main track)
Keywords: Multi-Armed Bandit;Indexed Minimum Empirical Divergence;Unimodal Bandits;Optimal Algorithm;One-Dimensional Exponential Family Distributions;Regret analysis
Decision: Poster
Title: Multilingual Pre-training with Universal Dependency Learning
Authors: Kailai Sun, Zuchao Li, Hai Zhao
Affiliations: Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, China; MoE Key Lab of Artiﬁcial Intelligence, AI Institute, Shanghai Jiao Tong University; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2021 (main track)
Keywords: natural language processing;multilingual pre-trained language model;universal syntactic dependency parsing
Decision: Poster
Title: Learning Frequency Domain Approximation for Binary Neural Networks
Authors: Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing XU, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; The University of Sydney
Conference: nips 2021 (main track)
Keywords: binary neural network;frequency domain approximation;fourier series;noise
Decision: Oral
Title: Subgoal Search For Complex Reasoning Tasks
Authors: Konrad Czechowski, Tomasz Odrzygóźdź, Marek Zbysiński, Michał Zawalski, Krzysztof Olejnik, Yuhuai Wu, Łukasz Kuciński, Piotr Miłoś
Affiliations: Polish Academy of Sciences; University of Warsaw; Polish Academy of Sciences, University of Oxford, deepsense.ai; University of Toronto, Vector Institute
Conference: nips 2021 (main track)
Keywords: search;deep learning;hierarchical planning
Decision: Poster
Title: End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Authors: Devendra Singh, Siva Reddy, Will Hamilton, Chris Dyer, Dani Yogatama
Affiliations: Mila - Quebec AI Institute, School of Computer Science, McGill University; DeepMind
Conference: nips 2021 (main track)
Keywords: open-domain question answering;information retrieval;closed-book QA
Decision: Poster
Title: Adder Attention for Vision Transformer
Authors: Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; Peking University; Tsinghua Shenzhen International Graduate School; Huawei Technologies
Conference: nips 2021 (main track)
Keywords: Transformer;Addernet;Energy consumption
Decision: Poster
Title: Bayesian decision-making under misspecified priors with applications to meta-learning
Authors: Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miro Dudik, Robert Schapire
Affiliations: Massachusetts Institute of Technology; Microsoft Research NYC; Columbia University
Conference: nips 2021 (main track)
Keywords: Thompson Sampling;Bayesian Bandits;Bayesian Decision Making;Meta-Learning
Decision: Spotlight
Title: NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
Authors: Evan McCarty, Qi Zhao, Anastasios Sidiropoulos, Yusu Wang
Affiliations: Halıcıoğlu Data Science Institute, University of California, San Diego; Department of Computer Science, University of Illinois, Chicago; Computer Science and Engineering Department, University of California, San Diego
Conference: nips 2021 (main track)
Keywords: neural networks;graph combinatorial optimization problems
Decision: Poster
Title: Replay-Guided Adversarial Environment Design
Authors: Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob Foerster, Edward Grefenstette, Tim Rocktäschel
Affiliations: FAIR; University of Oxford; UCL, FAIR; UC Berkeley
Conference: nips 2021 (main track)
Keywords: deep reinforcement learning;multi-agent reinforcement learning;self-supervised learning;environment design;curriculum learning;continual learning
Decision: Poster
Title: Neural Architecture Dilation for Adversarial Robustness
Authors: Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu
Affiliations: Huawei Noah’s Ark Lab; School of Computer Science, University of Sydney, Australia; Huawei Noah’s Ark Lab, Key Lab of Machine Perception (MOE), Department of Machine Intelligence, Peking University, China
Conference: nips 2021 (main track)
Keywords: Deep Learning;Neural Architecture Search;Adversarial Robustness
Decision: Poster
Title: Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
Authors: Man Shun Ang, Jianzhu Ma, Nianjun Liu, Kun Huang, Yijie Wang
Affiliations: Institute for Artiﬁcial Intelligence, Peking University; Dept. of Biostatistics and Health Data Science, Indiana University; Dept. of Computer Science, Indiana University Bloomington; Dept. of Combinatorics and Optimization, University of Waterloo; Dept. of Epidemiology and Biostatistics, Indiana University Bloomington
Conference: nips 2021 (main track)
Keywords: Capped Simplex;Projection;Newton's Method;Sparse Regression via Boolean Relaxation;Bioinformatics;GWAS
Decision: Poster
Title: Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Authors: Reda Ouhamma, Odalric-Ambrym Maillard, Vianney Perchet
Affiliations: Crest, Ensae & Criteo AI Lab; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France; Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France
Conference: nips 2021 (main track)
Keywords: Multi-armed bandit;thresholding bandits
Decision: Spotlight
Title: Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Authors: Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
Affiliations: The University of Adelaide, Australia; Meituan Inc.; Meituan Inc., The University of Adelaide, Australia
Conference: nips 2021 (main track)
Keywords: Vision Transformers;image classification
Decision: Poster
Title: Fairness via Representation Neutralization
Authors: Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu
Affiliations: Texas A&M University; Rice University; Microsoft Research
Conference: nips 2021 (main track)
Keywords: Algorithmic bias;Fairness mitigation;Explainability
Decision: Poster
Title: Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
Authors: Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen
Affiliations: Department of Computer Science, National University of Singapore, Singapore; Department of Computer Science & Technology, Tsinghua University, Beijing, China; School of Economics and Management, Tsinghua University, Beijing, China
Conference: nips 2021 (main track)
Keywords: invariant learning;latent heterogeneity;spurious correlation;out-of-distribution generalization;robust learning
Decision: Poster
Title: Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Authors: Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Affiliations: DeepMind, London, UK; Polish Academy of Sciences, University of Oxford, deepsense.ai, Warsaw, Poland; Jagiellonian University, Kraków, Poland; Polish Academy of Sciences, Warsaw, Poland
Conference: nips 2021 (main track)
Keywords: continual learning;reinforcement learning;benchmark
Decision: Poster
Title: NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Authors: Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
Affiliations: Department of Computer Science, National Chiao Tung University, Taiwan; Electrical and Computer Engineering Department, Texas A&M University, College Station, TX
Conference: nips 2021 (main track)
Keywords: restless bandits;Whittle index;deep reinforcement learning
Decision: Poster
Title: Asynchronous Stochastic Optimization Robust to Arbitrary Delays
Authors: Alon Cohen, Amit Daniely, Yoel Drori, Tomer Koren, Mariano Schain
Affiliations: Google Research Israel; Hebrew University of Jerusalem and Google Research Israel; Tel Aviv University and Google Research Israel
Conference: nips 2021 (main track)
Keywords: Stochastic Optimization;Asynchronous Optimization;Delayed Gradients
Decision: Poster
Title: Learning Riemannian metric for disease progression modeling
Authors: Samuel Gruffaz, Pierre-Emmanuel Poulet, Etienne Maheux, Bruno Jedynak, Stanley DURRLEMAN
Affiliations: Paris Brain Institute, Inria Paris, Inserm, CNRS, Sorbonne University; Paris Brain Institute, Inria Paris; Maseeh Professor of Mathematical Sciences, Portland, OR 97201; Inria Paris, Ecole normale supérieure Paris-Saclay
Conference: nips 2021 (main track)
Keywords: Riemannian Geometry;RKHS;mixed-effect model;Disease progression modelling;Longitudinal data
Decision: Poster
Title: Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Authors: Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Affiliations: Singapore Institute of Manufacturing Technology, A*STAR; National University of Singapore; The Hong Kong University of Science and Technology; University of Electronic Science and Technology of China; Institute for Infocomm Research, A*STAR; Institute of Marine Science and Technology, Shandong University
Conference: nips 2021 (main track)
Keywords: Transformer;positional encoding;learning to optimize;vehicle routing problem;combinatorial optimization
Decision: Poster
Title: Deep Conditional Gaussian Mixture Model for Constrained Clustering
Authors: Laura Manduchi, Kieran Chin-Cheong, Holger Michel, Sven Wellmann, Julia Vogt
Affiliations: Department of Computer Science, ETH Zürich; Department of Neonatology, University Children’s Hospital Regensburg (KUNO), University of Regensburg, Germany
Conference: nips 2021 (main track)
Keywords: constrained clustering;deep generative models;representation learning
Decision: Poster
Title: Subgroup Generalization and Fairness of Graph Neural Networks
Authors: Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Affiliations: Department of EECS, University of Michigan, Ann Arbor, Michigan, USA; School of Information, University of Michigan, Ann Arbor, Michigan, USA
Conference: nips 2021 (main track)
Keywords: Graph Neural Networks;Generalization;Fairness;PAC-Bayesian Analysis
Decision: Spotlight
Title: Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Authors: Aurelien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark van der Laan
Affiliations: Université de Paris; University of California, Berkeley; Netflix; Cornell University and Netflix
Conference: nips 2021 (main track)
Keywords: empirical risk minimization;maximal inequality;metric entropy;fast rates;policy learning;empirical process theory;adaptively collected data
Decision: Poster
Title: On Locality of Local Explanation Models
Authors: Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C Holmes
Affiliations: The London School of Hygiene & Tropical Medicine & The Alan Turing Institute; University of Oxford; University of Oxford & The Alan Turing Institute
Conference: nips 2021 (main track)
Keywords: Shapley values;model interpretability;reference distribution;neighbourhood sampling
Decision: Poster
Title: Deep Residual Learning in Spiking Neural Networks
Authors: Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
Affiliations: Department of Computer Science and Technology, Peking University; Peng Cheng Laboratory, Shenzhen 518055, China; Centre de Recherche Cerveau et Cognition, UMR5549 CNRS - Univ. Toulouse 3, Toulouse, France
Conference: nips 2021 (main track)
Keywords: Spiking Neural Networks;SNN;spike-based backpropagation;ImageNet
Decision: Poster
Title: How Powerful are Performance Predictors in Neural Architecture Search?
Authors: Colin White, Arber Zela, Robin Ru, Yang Liu, Frank Hutter
Affiliations: University of Oxford; University of Freiburg, Bosch Center for Artiﬁcial Intelligence; University of Freiburg; Abacus.AI
Conference: nips 2021 (main track)
Keywords: neural architecture search
Decision: Poster
Title: Entropy-based adaptive Hamiltonian Monte Carlo
Authors: Marcel Hirt, Michalis Titsias, Petros Dellaportas
Affiliations: Department of Statistical Science, University College London, UK; DeepMind, London, UK; Department of Statistical Science, University College London, UK; Department of Statistics, Athens Univ. of Economics and Business, Greece; The Alan Turing Institute, UK
Conference: nips 2021 (main track)
Keywords: Hamiltonian Monte Carlo;MCMC
Decision: Poster
Title: Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Authors: Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Affiliations: Samsung Electronics; Rice University; The Hong Kong Polytechnic University; Samsung Research America
Conference: nips 2021 (main track)
Keywords: Deep graph neural networks;Over-smoothing;Node classification;Dirichlet energy;Orthogonal weight
Decision: Poster
Title: A universal probabilistic spike count model reveals ongoing modulation of neural variability
Authors: David Liu, Mate Lengyel
Affiliations: Department of Engineering, University of Cambridge; Department of Cognitive Science, Central European University; Department of Engineering, University of Cambridge
Conference: nips 2021 (main track)
Keywords: neural coding;neural variability;neural correlations;Gaussian processes;discrete distributions;latent variable modelling
Decision: Poster
Title: CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Affiliations: Sun Yat-sen University, ∗indicates equal contribution and internship at Microsoft; Microsoft Research Asia; Peking University, ∗indicates equal contribution and internship at Microsoft; Beihang University, ∗indicates equal contribution and internship at Microsoft; Peking University; Microsoft; Microsoft Research Asia, Corresponding author
Conference: nips 2021 (Datasets & Benchmarks track)
Decision: Poster
Title: The Image Local Autoregressive Transformer
Authors: Chenjie Cao, Yuxin Hong, Xiang Li, Chengrong Wang, Chengming Xu, Yanwei Fu, Xiangyang Xue
Affiliations: School of Data Science, Fudan University; Fudan ISTBI—ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Jinhua, China; School of Data Science, Fudan University
Conference: nips 2021 (main track)
Keywords: Autoregressive;Image synthesis;Generative model;Transformer
Decision: Poster
Title: Does enforcing fairness mitigate biases caused by subpopulation shift?
Authors: Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun
Affiliations: Department of Statistics, University of Michigan; IBM Research, MIT-IBM Watson AI Lab
Conference: nips 2021 (main track)
Keywords: algorithmic fairness;domain adaptation;sub-population shift;fairness accuracy trade-off
Decision: Poster
Title: Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Authors: Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
Affiliations: Technical University of Denmark; University of Amsterdam; UvA-Bosch Delta Lab, University of Amsterdam
Conference: nips 2021 (main track)
Keywords: categorical;normalizing flows;diffusion
Decision: Poster
Title: Realistic evaluation of transductive few-shot learning
Authors: Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed
Affiliations: ÉTS Montreal; L2S, CentraleSupélec CNRS, Université Paris-Saclay
Conference: nips 2021 (main track)
Keywords: Few-shot classification;Class imbalance;Transductive learning
Decision: Poster
Title: Differential Privacy Over Riemannian Manifolds
Authors: Matthew Reimherr, Karthik Bharath, Carlos Soto
Affiliations: Department of Statistics, Pennsylvania State University, University Park, PA; School of Mathematical Sciences, University of Nottingham, Nottingham, UK
Conference: nips 2021 (main track)
Keywords: Differential Privacy;Riemannian Manifolds;Fréchet Mean;Laplace Mechanism;K-Norm Mechanism
Decision: Poster
Title: Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Authors: Patrick Mineault, Shahab Bakhtiari, Blake Richards, Christopher Pack
Affiliations: Mila, Montreal Neurological Institute, McGill University; patrick.mineault@gmail.com; Montreal Neurological Institute, McGill University; Mila, McGill University
Conference: nips 2021 (main track)
Keywords: sensory neuroscience;systems identification;goal-driven models;vision neuroscience;motion processing
Decision: Spotlight
Title: Biological learning in key-value memory networks
Authors: Danil Tyulmankov, Ching Fang, Annapurna Vadaparty, Guangyu Robert Yang
Affiliations: Columbia University, Massachusetts Institute of Technology; Columbia University, Stanford University; Columbia University
Conference: nips 2021 (main track)
Keywords: neuroscience;computational neuroscience;memory;recall;biological learning;learning rule;synaptic plasticity;key-value network
Decision: Poster