hunoutl/paperlists huggingface dataset:
Title: Solving Quantitative Reasoning Problems with Language Models
Authors: Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, Vedant Misra
Affiliations: Google Research
Conference: nips 2022 (main track)
Keywords: language models;quantitative reasoning;transformers;math and science word problems
Decision: Poster
Title: Using Partial Monotonicity in Submodular Maximization
Authors: Loay Mualem, Moran Feldman
Affiliations: Department of Computer Science, University of Haifa, Haifa 3303221, Israel
Conference: nips 2022 (main track)
Keywords: submodular maximization;non-convex optimization;monotonicity ratio;cardinality constraint;matroid constraint;movie recommendation;image summarization
Decision: Poster
Title: Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Authors: Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Affiliations: Karlsruhe Institute of Technology, 76131 Karlsruhe (Germany); Gran Sasso Science Institute, 67100 L’Aquila (Italy); EPF Lausanne, 1015 Lausanne (Switzerland); University of Innsbruck, 6020 Innsbruck (Austria)
Conference: nips 2022 (main track)
Keywords: Neural Network Compression;Low Rank Matrices;Dynamical Low Rank Approximation;Neural Network Training;Pruning
Decision: Poster
Title: BLOX: Macro Neural Architecture Search Benchmark and Algorithms
Authors: Thomas Chau, Łukasz Dudziak, Hongkai Wen, Nicholas Lane, Mohamed Abdelfattah
Affiliations: Samsung AI Center, Cambridge, UK; University of Cambridge, UK; Cornell University, USA; University of Warwick, UK
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Neural architecture search;Search space;Benchmark;Dataset
Decision: Poster
Title: Decomposing NeRF for Editing via Feature Field Distillation
Authors: Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Affiliations: Preferred Networks, Inc.; Massachusetts Institute of Technology
Conference: nips 2022 (main track)
Keywords: neural radiance field;feature field;editing;semantic segmentation;zero-shot segmentation;distillation
Decision: Poster
Title: Revisiting Sparse Convolutional Model for Visual Recognition
Authors: xili dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Affiliations: Ohio State University; Harvard University; Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University; University of California, Berkeley; The Hong Kong University of Science and Technology (Guangzhou)
Conference: nips 2022 (main track)
Keywords: Sparse Dictionary Learning;inverse models;image classification
Decision: Poster
Title: Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Authors: Nicolai Engelmann, Heinz Koeppl
Affiliations: Department of Electrical Engineering, Department of Biology, Technische Universitat Darmstadt, 64289, Darmstadt; Department of Electrical Engineering, Technische Universitat Darmstadt, 64289, Darmstadt
Conference: nips 2022 (main track)
Keywords: forward-backward;continuous time;hsmm;ctsmc;semi-Markov;latent state inference
Decision: Poster
Title: Incentivizing Combinatorial Bandit Exploration
Authors: Xinyan Hu, Dung Ngo, Aleksandrs Slivkins, Steven Wu
Affiliations: Carnegie Mellon University; University of California, Berkeley; Microsoft Research NYC; University of Minnesota
Conference: nips 2022 (main track)
Keywords: incentivized exploration;multi-armed bandits;combinatorial semi-bandits;Thompson Sampling;Bayesian incentive-compatibility
Decision: Poster
Title: HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding
Authors: Yi.shi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
Affiliations: McCombs School of Business, The University of Texas at Austin, USA; National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China
Conference: nips 2022 (main track)
Keywords: hierarchical topic modeling;hyperbolic embedding;knowledge incorporation
Decision: Poster
Title: Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models
Authors: Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert Sabuncu
Affiliations: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139; Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065; Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853; Radiology, Weill Cornell Medicine, New York, NY 10065; Radiology, Weill Cornell Medicine, New York, NY 10065
Conference: nips 2022 (main track)
Keywords: deep neural networks;computational neuroscience;ventral visual stream;fMRI
Decision: Highlighted
Title: Autoformalization with Large Language Models
Authors: Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, Markus Rabe, Charles Staats, Mateja Jamnik, Christian Szegedy
Affiliations: University of Cambridge; Google Research, Stanford University; Google Research
Conference: nips 2022 (main track)
Keywords: Large language models;Autoformalization;Formal Math;miniF2F.
Decision: Poster
Title: Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks
Authors: Yabo Zhang, mingshuai Yao, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Wangmeng Zuo
Affiliations: Harbin Institute of Technology, Peng Cheng Laboratory; Harbin Institute of Technology; Tomorrow Advancing Life
Conference: nips 2022 (main track)
Keywords: StyleGAN;Domain Adaption;One-shot;CLIP
Decision: Poster
Title: (De-)Randomized Smoothing for Decision Stump Ensembles
Authors: Miklós Horváth, Mark Müller, Marc Fischer, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: nips 2022 (main track)
Keywords: adversarial robustness;certified robustness;randomized smoothing;tree-based models
Decision: Poster
Title: Conformal Off-Policy Prediction in Contextual Bandits
Authors: Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet
Affiliations: AI-Lab-Research, Bytedance AI Lab; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: conformal prediction;contextual bandits;uncertainty quantification;robust ML
Decision: Poster
Title: Tractable Optimality in Episodic Latent MABs
Authors: Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Affiliations: University of Wisconsin-Madison; Meta, New York; The University of Texas at Austin; Technion, NVIDIA
Conference: nips 2022 (main track)
Keywords: multi-armed bandits;partially observable MDPs;experimental design;latent variable models;method-of-moments;maximum likelihood estimation
Decision: Poster
Title: Continual Learning In Environments With Polynomial Mixing Times
Authors: Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish
Affiliations: Mila, Université de Montréal; Massachusetts Institute of Technology; IBM Research; Mila, Université de Montréal
Conference: nips 2022 (main track)
Decision: Poster
Title: Stochastic Multiple Target Sampling Gradient Descent
Authors: Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung
Affiliations: Monash University, Australia; VinAI Research, Vietnam; University of Texas, Austin
Conference: nips 2022 (main track)
Keywords: Multi objective optimization;Multi task learning;Stein Variational Gradient Descent
Decision: Poster
Title: NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation
Authors: Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane Boning, David Pan
Affiliations: Massachusetts Institute of Technology; The University of Texas at Austin
Conference: nips 2022 (main track)
Keywords: Neural operator;optical simulation;machine learning for design automation
Decision: Poster
Title: Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition
Authors: Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu
Affiliations: Enbo Technology Co.,Ltd., China; School of Computer Science, Faculty of Engineering, The University of Sydney; School of Automation, Southeast University; SenseTime Research
Conference: nips 2022 (main track)
Keywords: Few-Shot Action Recognition;Temporal Alignment;Neural Architecture Search
Decision: Poster
Title: Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited
Authors: Nils M. Kriege
Affiliations: Faculty of Computer Science, University of Vienna, Währinger Straße 29, 1090 Vienna, Austria; Research Network Data Science @ Uni Vienna, Kolingasse 14–16, 1090 Vienna, Austria
Conference: nips 2022 (main track)
Keywords: graph kernels;Weisfeiler-Leman;random walks
Decision: Poster
Title: Active Labeling: Streaming Stochastic Gradients
Authors: Vivien Cabannes, Francis Bach, Vianney Perchet, Alessandro Rudi
Affiliations: Meta, Work done while at INRIA / ENS / PSL; ENSAE; INRIA / ENS / PSL
Conference: nips 2022 (main track)
Keywords: Weak supervision;partial labeling;active learning;sgd
Decision: Poster
Title: Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Authors: Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
Affiliations: Harvard University; Princeton University; Salesforce Research
Conference: nips 2022 (main track)
Keywords: policy optimization;multi-agent reinforcement learning;reinforcement learning theory;Markov games
Decision: Poster
Title: Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization
Authors: De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu
Affiliations: Hong Kong Baptist University; JD Explore Academy; Xidian University; TML Lab, The University of Sydney; Chongqing University of Posts and Telecommunications; Shenzhen AiMall Tech. Co., Ltd.
Conference: nips 2022 (main track)
Keywords: Label-Noise Learning;Transition Matrix
Decision: Poster
Title: Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
Authors: JoonHo Jang, Byeonghu Na, Dong Hyeok Shin, Mingi Ji, Kyungwoo Song, Il-chul Moon
Affiliations: KAIST; KAIST, Summary.AI; University of Seoul
Conference: nips 2022 (main track)
Keywords: domain adaptation;open-set domain adaptation;domain adversarial learning;representation learning;open set recognition
Decision: Poster
Title: SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
Authors: Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
Affiliations: Renmin University of China; JD Explore Academy; Institute of Software, Chinese Academy of Sciences
Conference: nips 2022 (main track)
Keywords: Semantic-Guided Masking;Masked Autoencoders;Self-Supervised Learning;Semantic part learning
Decision: Poster
Title: UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Authors: Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
Affiliations: Hong Kong University of Science and Technology; College of Intelligence and Computing, Tianjin University; Tencent AI Lab
Conference: nips 2022 (main track)
Keywords: subpopulation shift;uncertainty;mixup
Decision: Poster
Title: Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
Authors: Justin Whitehouse, Aaditya Ramdas, Steven Wu, Ryan Rogers
Affiliations: LinkedIn; Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Differential privacy;Brownian motion;Laplace mechanism;Gaussian mechanism;Confidence sequences;Empirical risk minimization
Decision: Poster
Title: Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Authors: Aleksandr Beznosikov, Peter Richtarik, Michael Diskin, Max Ryabinin, Alexander Gasnikov
Affiliations: Yandex and HSE University, Russia; MIPT, HSE University and IITP RAS§, Russia; HSE University and Yandex, Russia; KAUST‡, Saudi Arabia; Innopolis University⇤, MIPT†, HSE University and Yandex, Russia
Conference: nips 2022 (main track)
Keywords: convex optimization;compression;variational inequalities;saddle point problems
Decision: Poster
Title: MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
Authors: Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo
Affiliations: Shanghai Jiao Tong University; Donghua University
Conference: nips 2022 (main track)
Keywords: Monocular 3D Object Detection;Transformer;Ground Depth Estimation.
Decision: Poster
Title: HyperTree Proof Search for Neural Theorem Proving
Authors: Guillaume Lample, Timothee Lacroix, Marie-Anne Lachaux, Aurelien Rodriguez, Amaury Hayat, Thibaut Lavril, Gabriel Ebner, Xavier Martinet
Affiliations: Vrije Universiteit Amsterdam; CERMICS École des Ponts ParisTech; Meta AI Research
Conference: nips 2022 (main track)
Keywords: theorem proving;automated theorem proving;MCTS;reasoning;AI for math
Decision: Poster
Title: LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Authors: Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li
Affiliations: University of Science and Technology of China; University of Science and Technology of China, Hefei Comprehensive National Science Center, Institute of Artificial Intelligence; Huawei Cloud
Conference: nips 2022 (main track)
Keywords: Multi-agent Reinforcement Learning;Task Decomposition;Subtask Representation;Subtask Assignment
Decision: Poster
Title: GlanceNets: Interpretable, Leak-proof Concept-based Models
Authors: Emanuele Marconato, Andrea Passerini, Stefano Teso
Affiliations: Department of Computer Science, University of Pisa & University of Trento, Pisa, Italy; Department of Computer Science, University of Trento, Trento, Italy
Conference: nips 2022 (main track)
Keywords: explainability;concept-based models;interpretability;disentanglement;concept leakage
Decision: Poster
Title: Optimistic Tree Searches for Combinatorial Black-Box Optimization
Authors: Cedric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou Ammar, Jun Wang
Affiliations: Huawei Noah’s Ark Lab, University College London; Huawei Noah’s Ark Lab
Conference: nips 2022 (main track)
Keywords: Optimization;Black-box;Combinatorial;Tree Search
Decision: Poster
Title: Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
Authors: Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf
Affiliations: Department of Computer Science, Shanghai Jiao Tong University; Amazon
Conference: nips 2022 (main track)
Keywords: Tabular Prediction;Hypergraph
Decision: Poster
Title: AutoML Two-Sample Test
Authors: Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; CISPA - Helmholtz Center for Information Security, Saarbrücken, Germany
Conference: nips 2022 (main track)
Keywords: Two-Sample Test;AutoML;MMD
Decision: Poster
Title: Latency-aware Spatial-wise Dynamic Networks
Authors: Yizeng Han, Zhihang Yuan, Yifan Pu, Chenhao Xue, Shiji Song, Guangyu Sun, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University, Beijing, China; School of Electronics Engineering and Computer Science, Peking University, Beijing, China
Conference: nips 2022 (main track)
Decision: Poster
Title: Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
Authors: Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian
Affiliations: University of Illinois, Urbana-Champaign, Urbana, IL; Mitsubishi Electric Research Labs, Cambridge, MA
Conference: nips 2022 (main track)
Keywords: Audio Source Separation;Multimodal Learning;Multi-task Learning;Scene Graphs
Decision: Poster
Title: Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition
Authors: Lesi Chen, Boyuan Yao, Luo Luo
Affiliations: School of Data Science, Fudan University
Conference: nips 2022 (main track)
Keywords: Stochastic minimax optimization;Polyak-Lojasiewicz condition
Decision: Poster
Title: SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Authors: Sheng Yu Huang, Hao-Yu Hsu, Frank Wang
Affiliations: Graduate Institute of Communication Engineering, National Taiwan University and NVIDIA; Graduate Institute of Communication Engineering, National Taiwan University
Conference: nips 2022 (main track)
Keywords: point cloud;3D vision;completion
Decision: Poster
Title: Submodular Maximization in Clean Linear Time
Authors: Wenxin Li, Moran Feldman, Ehsan Kazemi, Amin Karbasi
Affiliations: The Ohio State University; Google; University of Haifa; Yale University, Google Research
Conference: nips 2022 (main track)
Keywords: Submodular maximization;query complexity;cardinality constraint;Knapsack constraint;p-set system constraint;information-theoretic lower bound
Decision: Poster
Title: The Effects of Regularization and Data Augmentation are Class Dependent
Authors: Randall Balestriero, Leon Bottou, Yann LeCun
Affiliations: Meta AI Research, FAIR, NYC, USA; Meta AI Research, FAIR, NYU, NYC, USA
Conference: nips 2022 (main track)
Keywords: data augmentation;class dependent bias;regularization;fairness;cross validation;risk minimization
Decision: Poster
Title: Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Authors: Luo Luo, Yujun Li, Cheng Chen
Affiliations: Noah’s Ark Lab, Huawei Technologies Co., Ltd.; School of Physical and Mathematical Sciences, Nanyang Technological University; School of Data Science, Fudan University
Conference: nips 2022 (main track)
Keywords: Minimax optimization;Second-order optimization;Cubic regularization
Decision: Poster
Title: Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks
Authors: Zhi-Hao Tan, Yi Xie, Yuan Jiang, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
Conference: nips 2022 (main track)
Keywords: complex-valued neural network;complex backpropagation;neural tangent kernel
Decision: Poster
Title: Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Authors: Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens
Affiliations: SEAS, Harvard University, Cambridge, MA, USA; Division of Pulmonary and Critical Care, Michigan Medicine, Ann Arbor, MI, USA; Division of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA
Conference: nips 2022 (main track)
Keywords: reinforcement learning;offline rl;action space factorization;bias-variance trade-off;domain knowledge;healthcare;sepsis
Decision: Highlighted
Title: Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
Authors: Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Paweł Rychlikowski, Jan Chorowski
Affiliations: NVIDIA, Poland; Université de Toulon, Aix Marseille Univ, CNRS, LIS, France; University of Wrocław, Poland; Pathway, France; University of Wrocław, Poland; Université de Toulon, Aix Marseille Univ, CNRS, LIS, France
Conference: nips 2022 (main track)
Keywords: representation learning;self-supervised learning;acoustic unit discovery;speech;spoken language;contrastive predictive coding;hierarchical learning;(application) signal and speech processing
Decision: Poster
Title: Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Authors: Linhao Qu, xiaoyuan luo, Manning Wang, Zhijian Song
Affiliations: Digital Medical Research Center, School of Basic Medical Science, Fudan University
Conference: nips 2022 (main track)
Keywords: multiple instance learning;whole slide image;knowledge distillation;weakly supervised learning
Decision: Poster
Title: ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
Authors: Ilker Demirel, Ahmet Alparslan Celik, Cem Tekin
Affiliations: Bilkent University; Bilkent University and MIT CSAIL
Conference: nips 2022 (main track)
Keywords: Multi-armed bandits;Bayesian optimization;Gaussian processes;Healthcare;Precision Medicine
Decision: Poster
Title: Peer Prediction for Learning Agents
Authors: Shi Feng, Fang-Yi Yu, Yiling Chen
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: information elicitation;peer prediction;online learning;truthful convergence
Decision: Poster
Title: Rare Gems: Finding Lottery Tickets at Initialization
Authors: Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, Dimitris Papailiopoulos
Affiliations: University of Wisconsin-Madison; Carnegie Mellon University, Petuum, Inc.; Carnegie Mellon University; Mohamed Bin Zayed University of Artificial Intelligence
Conference: nips 2022 (main track)
Decision: Poster
Title: OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
Authors: Wanhua Li, Xiaoke Huang, Zheng Zhu, Yansong Tang, Xiu Li, Jie Zhou, Jiwen Lu
Affiliations: PhiGent Robotics; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Ordinal Regression;Representation Learning;Vision-Language;Prompt Learning
Decision: Poster
Title: ComMU: Dataset for Combinatorial Music Generation
Authors: Hyun Lee, Taehyun Kim, Hyolim Kang, Minjoo Ki, Hyeonchan Hwang, kwanho park, Sharang Han, Seon Joo Kim
Affiliations: Pozalabs, Yonsei Univ.∗; Pozalabs∗†; Pozalabs; Yonsei Univ.; Pozalabs, Yonsei Univ.
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Dataset;Music generation
Decision: Poster
Title: Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
Authors: Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao
Affiliations: Nanyang Technological University; Huazhong University of Science and Technology; A*STAR, Singapore
Conference: nips 2022 (main track)
Keywords: 3d reconstruction;neural implicit surfaces learning;multi-view geometry consistency
Decision: Poster
Title: IM-Loss: Information Maximization Loss for Spiking Neural Networks
Authors: Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Yinglei Wang, Xuhui Huang, Zhe Ma
Affiliations: Intelligent Science & Technology Academy of CASIC; Not provided in the text
Conference: nips 2022 (main track)
Decision: Poster
Title: The Neural Testbed: Evaluating Joint Predictions
Authors: Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, MORTEZA IBRAHIMI, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
Affiliations: DeepMind, Efficient Agent Team, Mountain View
Conference: nips 2022 (main track)
Keywords: Deep Learning;Bayesian;Uncertainty;Testbed;open source
Decision: Poster
Title: LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank
Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun
Affiliations: Zhejiang University, Alibaba-Zhejiang University Joint Institute of Frontier Technologies; Salesforce Research Asia; National University of Singapore
Conference: nips 2022 (main track)
Keywords: learning to rank;unbiased learning to rank;decouple
Decision: Poster
Title: Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning
Authors: Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani
Affiliations: Graduate School of Information Sciences, Tohoku University and RIKEN Center for AIP; Graduate School of Information Sciences, Tohoku University
Conference: nips 2022 (main track)
Decision: Poster