hunoutl/paperlists huggingface dataset:
Title: Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
Authors: Laurent Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaid, Mohammed Bennamoun
Affiliations: University of Western Australia; Murdoch University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Active Stereo;Dataset;Deep Learning;Generalization;Stereo Vision
Decision: Poster
Title: When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
Authors: Vijay Vasudevan, Benjamin Caine, Raphael Gontijo Lopes, Sara Fridovich-Keil, Rebecca Roelofs
Affiliations: University of California, Berkeley; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: ImageNet;image classification;multi-label;benchmarking
Decision: Poster
Title: Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Authors: Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh Bharadwaj Gundavarapu, Alex Lamb, Nan Rosemary Ke, Yoshua Bengio
Affiliations: Microsoft Research, New York, NY; Mila, University of Montreal, CIFAR Fellow; Google Deepmind; Google Research; Mila, University of Montreal
Conference: nips 2022 (main track)
Keywords: Transformers;Fast and Slow Mechanisms;Temporal Bottleneck
Decision: Poster
Title: Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers
Authors: Sejun Park, Umut Simsekli, Murat Erdogdu
Affiliations: University of Toronto & Vector Institute; DI ENS, Ecole Normale Supérieure, Université PSL, CNRS, INRIA; Korea University
Conference: nips 2022 (main track)
Decision: Poster
Title: A Unified Convergence Theorem for Stochastic Optimization Methods
Authors: Xiao Li, Andre Milzarek
Affiliations: School of Data Science (SDS), Shenzhen Research Institute of Big Data (SRIBD), The Chinese University of Hong Kong, Shenzhen, Shenzhen, China; School of Data Science (SDS), Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society (AIRS), The Chinese University of Hong Kong, Shenzhen, Shenzhen, China
Conference: nips 2022 (main track)
Keywords: stochastic optimization theory;almost sure convergence
Decision: Poster
Title: Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity
Authors: Bingqing Song, Ioannis Tsaknakis, Chung-Yiu Yau, Hoi-To Wai, Mingyi Hong
Affiliations: Department of SEEM, Chinese University of Hong Kong; Department of ECE, University of Minnesota
Conference: nips 2022 (main track)
Keywords: Distributed Optimization;Overparameterized Problem;Quantization
Decision: Poster
Title: The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Authors: Afonso S Bandeira, Ahmed El Alaoui, Samuel Hopkins, Tselil Schramm, Alexander S Wein, Ilias Zadik
Affiliations: Department of Mathematics, University of California, Davis; Department of Statistics, Stanford University; Department of Mathematics, MIT; Department of Statistics and Data Science, Cornell University; MIT EECS, Cambridge, MA; Department of Mathematics, ETH Zürich
Conference: nips 2022 (main track)
Keywords: Information-computation gaps;low-degree likelihood ratio;statistical physics;MCMC methods;sparse regression
Decision: Highlighted
Title: SparCL: Sparse Continual Learning on the Edge
Authors: Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy
Affiliations: Northeastern University; College of William and Mary
Conference: nips 2022 (main track)
Keywords: Continual Learning;Sparse Training
Decision: Poster
Title: Optimal and Adaptive Monteiro-Svaiter Acceleration
Authors: Yair Carmon, Danielle Hausler, Arun Jambulapati, Yujia Jin, Aaron Sidford
Affiliations: Stanford University; Tel Aviv University
Conference: nips 2022 (main track)
Keywords: convex optimization;optimization theory;second-order methods;Monteiro-Svaiter acceleration;proximal points;momentum;Newton's method;cubic regularization;conjugate residuals;oracle complexity;optimal algorithms;adaptive methods;parameter-free methods
Decision: Poster
Title: Efficient Multi-agent Communication via Self-supervised Information Aggregation
Authors: Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University; Polixir Technologies; National Key Laboratory for Novel Software Technology, Nanjing University
Conference: nips 2022 (main track)
Keywords: Multi-agent reinforcement learning;Communication;State representation learning
Decision: Poster
Title: HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Authors: Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei
Affiliations: Toyota Technological Institute at Chicago, 6045 S Kenwood Ave, Chicago, IL 60637; Ant Group, 569 Xixi Road, Hangzhou, China
Conference: nips 2022 (main track)
Keywords: probabilistic model;event sequences;energy-based model;long-horizon prediction
Decision: Poster
Title: 3D Concept Grounding on Neural Fields
Authors: Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan
Affiliations: MIT BCS, CBMM, CSAIL; University of California, Los Angeles; UMass Amherst and MIT-IBM Watson AI Lab; Shanghai Jiao Tong University; Massachusetts Institute of Technology
Conference: nips 2022 (main track)
Keywords: 3D Visual Reasonng;Neural Fields;Concept Grounding;Neural Implicit representations
Decision: Poster
Title: Training Spiking Neural Networks with Local Tandem Learning
Authors: Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Affiliations: The Hong Kong Polytechnic University; National University of Singapore; University of Electronic Science and Technology of China; The Chinese University of Hong Kong, Shenzhen, China; Kriston AI, Xiamen, China; National University of Singapore; China Nanhu Academy of Electronics and Information Technology
Conference: nips 2022 (main track)
Keywords: Spiking Neural Network (SNN);Teacher-Student Learning;On-chip Learning;Local Learning;Neuromorphic Computing
Decision: Highlighted
Title: Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor
Authors: Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun
Affiliations: Huawei Noah’s Ark Lab; College of Computer Science, Sichuan University; School of Artiﬁcial Intelligence, Peking University
Conference: nips 2022 (main track)
Keywords: neural architecture search;neural predictor;domain adaptation
Decision: Poster
Title: Egocentric Video-Language Pretraining
Authors: Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan, Eric Z. XU, Difei Gao, Rong-Cheng Tu, Wenzhe Zhao, Weijie Kong, Chengfei Cai, WANG HongFa, Dima Damen, Bernard Ghanem, Wei Liu, Mike Zheng Shou
Conference: nips 2022 (main track)
Keywords: Video-Language Pretraining;Egocentric Video Datasets
Decision: Poster
Title: Improving Diffusion Models for Inverse Problems using Manifold Constraints
Authors: Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
Affiliations: Dept. of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST); Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST); Dept. of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST)
Conference: nips 2022 (main track)
Keywords: Diffusion model;Inverse problem;Manifold constraint
Decision: Poster
Title: CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Authors: Haiyang Wang, lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang
Affiliations: Beijing Institute of Technology; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Huawei Noah’s Ark Lab, China; Center for Data Science, Peking University; Max Planck Institute for Informatics
Conference: nips 2022 (main track)
Keywords: 3D Object Detection;Point Clouds;3D Bounding Boxes;3D Deep Learning
Decision: Poster
Title: How Powerful are K-hop Message Passing Graph Neural Networks
Authors: Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
Affiliations: Institute for Artificial Intelligence, Peking University; Beijing Institute for General Artificial Intelligence; Institute for Informatics, Washington University School of Medicine; Department of CSE, Washington University in St. Louis; Department of CSE, Washington University in St. Louis; Institute for Informatics, Washington University School of Medicine
Conference: nips 2022 (main track)
Keywords: Graph Neural Network;Expressive Power;Graph Isomorphism;Weisfeiler-Lehman
Decision: Poster
Title: Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Authors: Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan
Affiliations: Department of Civil Engineering, Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi; Department of Computer Science and Engineering, Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi; Department of Civil Engineering, Indian Institute of Technology Delhi
Conference: nips 2022 (main track)
Keywords: Rigid body;dynamical systems;Lagrangian neural network;graph neural network
Decision: Poster
Title: Learning Debiased Classifier with Biased Committee
Authors: Nayeong Kim, SEHYUN HWANG, Sungsoo Ahn, Jaesik Park, Suha Kwak
Affiliations: Pohang University of Science and Technology (POSTECH), South Korea
Conference: nips 2022 (main track)
Keywords: Debiasing;bootstrap ensemble;self-supervised learning;image classification;spurious correlation
Decision: Poster
Title: AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Authors: Nicholas Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala
Affiliations: University of Wisconsin–Madison
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: weak supervision;automated weak supervision;foundation models;automl;diverse tasks
Decision: Poster
Title: Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Authors: Ioana Bica, Mihaela van der Schaar
Affiliations: University of Cambridge, Cambridge, UK; University of California, Los Angeles, USA; The Alan Turing Institute, London, UK; University of Oxford, Oxford, UK; The Alan Turing Institute, London, UK
Conference: nips 2022 (main track)
Keywords: causal inference;treatment effects;transfer learning;healthcare
Decision: Poster
Title: Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT
Authors: Cuneyt G Akcora, Murat Kantarcioglu, Yulia Gel, Baris Coskunuzer
Affiliations: Department of Computer Science, University of Texas at Dallas; Department of Mathematical Sciences, University of Texas at Dallas, National Science Foundation; Department of Computer Science, University of Manitoba; Department of Mathematical Sciences, University of Texas at Dallas
Conference: nips 2022 (main track)
Keywords: graph decomposition;persistent homology
Decision: Poster
Title: HandMeThat: Human-Robot Communication in Physical and Social Environments
Authors: Yanming Wan, Jiayuan Mao, Josh Tenenbaum
Affiliations: MIT CSAIL; MIT BCS, CBMM, CSAIL; IIIS, Tsinghua University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Pragmatic Reasoning;Goal Inference;Instruction Following
Decision: Poster
Title: Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Authors: Leon Gerard, Michael Scherbela, Philipp Marquetand, Philipp Grohs
Affiliations: Research Network Data Science @ Uni Vienna, Kolingasse 14-16, A-1090 Vienna, Austria; Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences, Altenbergerstrasse 69, 4040 Linz, Austria; Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria
Conference: nips 2022 (main track)
Keywords: Computational Physics;Machine Learning for Science;Quantum Monte Carlo;Fermionic Neural Networks
Decision: Poster
Title: Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion
Authors: Haixu Ma, Donglin Zeng, Yufeng Liu
Affiliations: Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516; Department of Statistics and Operations Research, Department of Genetics, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27516
Conference: nips 2022 (main track)
Keywords: Fusion Penalty;High-dimensional Regression;Individualized Treatment Rule;Precision Medicine
Decision: Poster
Title: Local Latent Space Bayesian Optimization over Structured Inputs
Authors: Natalie Maus, Haydn Jones, Juston Moore, Matt Kusner, John Bradshaw, Jacob Gardner
Affiliations: Centre for Artiﬁcial Intelligence, University College London, London, UK; Los Alamos National Laboratory, Los Alamos, NM; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA
Conference: nips 2022 (main track)
Keywords: Bayesian optimization;ML for molecules
Decision: Poster
Title: Versatile Multi-stage Graph Neural Network for Circuit Representation
Authors: shuwen yang, Zhihao Yang, Dong Li, Yingxueff Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
Affiliations: Huawei Noah’s Ark Lab; School of Intelligence Science and Technology, Peking University; School of Software and Microelectronics, Peking University
Conference: nips 2022 (main track)
Keywords: EDA;Circuit Design;logic synthesis;graph neural network;graph representation learning
Decision: Poster
Title: Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior
Authors: Zoe Ashwood, Aditi Jha, Jonathan Pillow
Affiliations: Princeton Neuroscience Institute, Princeton University; Dept. of Computer Science, Princeton University; Princeton Neuroscience Institute, Princeton University; Princeton Neuroscience Institute, Princeton University; Dept. of Electrical and Computer Engineering, Princeton University
Conference: nips 2022 (main track)
Keywords: Neuroscience;decision-making;inverse reinforcement learning
Decision: Highlighted
Title: RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning
Authors: Marc Rigter, Bruno Lacerda, Nick Hawes
Affiliations: Oxford Robotics Institute, University of Oxford
Conference: nips 2022 (main track)
Keywords: offline reinforcement learning;model-based reinforcement learning;deep reinforcement learning;robust reinforcement learning;adversarial learning
Decision: Poster
Title: On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Authors: Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub Tomczak
Affiliations: Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Warsaw University of Technology, Jagiellonian University of Cracow, Tooploox, IDEAS NCBR; Warsaw University of Technology, Warsaw, Poland
Conference: nips 2022 (main track)
Keywords: Diffusion generative models;DDGM;denoising autoencoders
Decision: Poster
Title: Tensor Program Optimization with Probabilistic Programs
Authors: Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Affiliations: OctoML; Carnegie Mellon University; Shanghai Jiao Tong University; Amazon Web Services; Carnegie Mellon University, OctoML
Conference: nips 2022 (main track)
Keywords: Tensor Program Optimization;Deep Learning Deployment;Machine Learning Compilation;Probabilistic Programming
Decision: Poster
Title: Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning
Authors: Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Dept. of Electrical Engineering and Computer Science, MIT, USA; Institute of Data Science, National University of Singapore, Republic of Singapore
Conference: nips 2022 (main track)
Keywords: collaborative machine learning;model reward;payoff reward;Shapley value
Decision: Poster
Title: Semantic Probabilistic Layers for Neuro-Symbolic Learning
Authors: Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
Affiliations: School of Informatics, University of Edinburgh; CIMeC and DISI, University of Trento; CS Department, UCLA
Conference: nips 2022 (main track)
Keywords: neuro-symbolic learning;structured-output prediction;structured-output spaces;tractable probabilistic inference;probabilistic reasoning
Decision: Poster
Title: Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels
Authors: Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing, 211106
Conference: nips 2022 (main track)
Decision: Highlighted
Title: Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
Authors: Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
Affiliations: University of California, Los Angeles; Facebook; Microsoft; New York University
Conference: nips 2022 (main track)
Keywords: vision-language pre-training;VQA;image captioning;object detection
Decision: Poster
Title: Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
Authors: Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe
Affiliations: Unaffiliated; University of Liège
Conference: nips 2022 (main track)
Keywords: simulation-based inference;likelihood-free inference;approximate Bayesian inference;neural ratio estimation
Decision: Poster
Title: MExMI: Pool-based Active Model Extraction Crossover Membership Inference
Authors: Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
Affiliations: Huawei International, Singapore; The Hong Kong Polytechnic University
Conference: nips 2022 (main track)
Keywords: AI Safety;Model Extraction;Membership Inference
Decision: Poster
Title: PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Authors: Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Wilson
Affiliations: New York University
Conference: nips 2022 (main track)
Keywords: PAC-Bayes;Generalization;Compression;Generalization Bounds;PAC-Bayes Bounds;Occam's Razor;Transfer Learning;Data-Dependent Priors
Decision: Poster
Title: Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration
Authors: Fanghui Liu, Luca Viano, Volkan Cevher
Affiliations: Laboratory for Information and Inference Systems, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Conference: nips 2022 (main track)
Keywords: deep reinforcement learning;function approximation;$\epsilon$-Greedy Exploration
Decision: Poster
Title: Riemannian Score-Based Generative Modelling
Authors: Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
Affiliations: Dept. of Computer Science ENS, CNRS, PSL University Paris, France; Dept. of Statistics, University of Oxford, Oxford, UK
Conference: nips 2022 (main track)
Keywords: Diffusion models;generative modeling;Riemannian manifolds;score matching
Decision: Highlighted
Title: Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Authors: Kaiyang Guo, Shao Yunfeng, Yanhui Geng
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2022 (main track)
Keywords: Offline reinforcement learning;model-based reinforcement learning;Bayesian learning
Decision: Highlighted
Title: Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Authors: Vidhi Lalchand, Wessel Bruinsma, David Burt, Carl Edward Rasmussen
Affiliations: Microsoft Research AI4Science; Department of Engineering, University of Cambridge; Department of Physics, University of Cambridge; LIDS, Massachusetts Institute of Technology
Conference: nips 2022 (main track)
Keywords: Gaussian processes;Sparse Gaussian processes;regression;Hamiltonian Monte Carlo;probabilistic inference
Decision: Poster
Title: Efficient Non-Parametric Optimizer Search for Diverse Tasks
Authors: Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
Affiliations: Department of Computer Science, UCLA; HKUST
Conference: nips 2022 (main track)
Keywords: AutoML;Optimizer Search;Optimization;Adversarial Robustness;Graph Neural Networks;BERT
Decision: Poster
Title: Sparse Structure Search for Delta Tuning
Authors: Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun
Affiliations: Noah’s Ark Lab, Huawei; Dept. of Comp. Sci. & Tech., Institute Guo Qiang, Tsinghua University, Beijing, China; International Innovation Center of Tsinghua University, Shanghai, China; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: Parameter Efficient Tuning;Pre-trained Models;Neural Architecture Search;Delta Tuning
Decision: Poster
Title: SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Authors: Edouard YVINEC, Arnaud Dapogny, Matthieu Cord, Kevin Bailly
Affiliations: Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Datakalab, 114 boulevard Malesherbes, 75017 Paris, France; Sorbonne Université, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France
Conference: nips 2022 (main track)
Keywords: pruning;compression;acceleration;deep learning;efficient inference
Decision: Poster
Title: Efficient coding, channel capacity, and the emergence of retinal mosaics
Authors: Na Young Jun, Greg Field, John Pearson
Affiliations: Department of Neurobiology, Duke University, Durham, NC 27710; Department of Biostatistics & Bioinformatics, Department of Neurobiology, Department of Electrical and Computer Engineering, Duke University, Durham, NC 27710
Conference: nips 2022 (main track)
Keywords: efficient coding;retina;neuroscience;information theory
Decision: Highlighted
Title: Understanding Benign Overfitting in Gradient-Based Meta Learning
Authors: Lisha Chen, Songtao Lu, Tianyi Chen
Affiliations: IBM Research, Yorktown Heights, NY, USA; Rensselaer Polytechnic Institute, Troy, NY, USA
Conference: nips 2022 (main track)
Keywords: meta learning;benign overfitting;excess risk
Decision: Poster
Title: SNAKE: Shape-aware Neural 3D Keypoint Field
Authors: Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, Wenbing Huang
Affiliations: THUAI, Tsinghua University; MIT; AIR, Tsinghua University; Peking University; Gaoling School of Artificial Intelligence, Renmin University of China; Xi’an Research Institute of High-Tech
Conference: nips 2022 (main track)
Keywords: 3D Keypoint Detection;Implicit Representation
Decision: Poster
Title: A Variant of Anderson Mixing with Minimal Memory Size
Authors: Fuchao Wei, Chenglong Bao, Yang Liu, Guangwen Yang
Affiliations: Yau Mathematical Sciences Center, Tsinghua University, China; Department of Computer Science and Technology, Tsinghua University, China
Conference: nips 2022 (main track)
Keywords: Anderson mixing;unconstrained optimization;stochastic optimization
Decision: Poster
Title: Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Authors: Olivier Jeunen, Ciarán Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
Affiliations: Spotify, London, UK; Spotify & UCL, London, UK; Sharechat, London, UK; Amazon, Edinburgh, UK
Conference: nips 2022 (main track)
Keywords: Causal Inference;Additive Noise Models;Joint Interventions
Decision: Poster