hunoutl/paperlists huggingface dataset:
Title: Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Authors: Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Ha Hong, Najib Majaj, Elias Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel Yamins, James J DiCarlo
Conference: nips 2019 (main track)
Decision: Oral
Title: Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift
Authors: Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua Dillon, Jie Ren, Zachary Nado
Conference: nips 2019 (main track)
Decision: Poster
Title: Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces
Authors: Benyamin Allahgholizadeh Haghi, Spencer Kellis, Sahil Shah, Maitreyi Ashok, Luke Bashford, Daniel Kramer, Brian Lee, Charles Liu, Richard Andersen, Azita Emami
Conference: nips 2019 (main track)
Decision: Poster
Title: Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Authors: Atilim Gunes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Saeid Naderiparizi, Andreas Munk, Jialin Liu, Bradley Gram-Hansen, Gilles Louppe, Lawrence Meadows, Philip Torr, Victor Lee, Kyle Cranmer, Mr. Prabhat, Frank Wood
Conference: nips 2019 (main track)
Decision: Poster
Title: GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Authors: Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V Le, Yonghui Wu, zhifeng Chen
Conference: nips 2019 (main track)
Decision: Poster
Title: Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
Authors: Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi (Viji) Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
Conference: nips 2019 (main track)
Decision: Poster
Title: MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Authors: Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio, Aaron Courville
Conference: nips 2019 (main track)
Decision: Poster
Title: Multi-Resolution Weak Supervision for Sequential Data
Authors: Paroma Varma, Frederic Sala, Shiori Sagawa, Jason A Fries, Dan Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
Conference: nips 2019 (main track)
Decision: Poster
Title: Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
Authors: Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
Conference: nips 2019 (main track)
Decision: Poster
Title: On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Authors: Muhammad Waleed Gondal, Manuel Wuethrich, Djordje Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
Conference: nips 2019 (main track)
Decision: Poster
Title: Park: An Open Platform for Learning-Augmented Computer Systems
Authors: Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Dr.Mohammad Alizadeh
Conference: nips 2019 (main track)
Decision: Poster
Title: Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
Authors: Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Conference: nips 2019 (main track)
Decision: Spotlight
Title: PyTorch: An Imperative Style, High-Performance Deep Learning Library
Authors: Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
Conference: nips 2019 (main track)
Decision: Poster
Title: Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
Authors: Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
Conference: nips 2019 (main track)
Decision: Poster
Title: The Option Keyboard: Combining Skills in Reinforcement Learning
Authors: Andre Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, jonathan j hunt, Shibl Mourad, David Silver, Doina Precup
Conference: nips 2019 (main track)
Decision: Poster
Title: Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
Authors: Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LIG, 38000 Grenoble, France
Conference: nips 2022 (main track)
Keywords: Markov decision processes;structured reinforcement learning;regret analysis;queueing systems
Decision: Poster
Title: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Authors: Xiu-Shen Wei, H.-Y. Xu, Faen Zhang, Yuxin Peng, Wei Zhou
Affiliations: School of Computer Science and Engineering, Nanjing University of Science and Technology; State Key Laboratory of Integrated Services Networks, Xidian University; CICC Alpha (Beijing) Private Equity; Wangxuan Institute of Computer Technology, Peking University; School of Computer Science and Engineering, Nanjing University of Science and Technology; Qingdao AInnovation Technology Group Co., Ltd
Conference: nips 2022 (main track)
Keywords: Semi-Supervised Few-Shot Learning;Negative Learning;Few-Shot Learning
Decision: Poster
Title: Local Identifiability of Deep ReLU Neural Networks: the Theory
Authors: Joachim Bona-Pellissier, François Malgouyres, Francois Bachoc
Affiliations: UPS, F-31062 Toulouse Cedex 9, France; Institut de Mathématiques de Toulouse ; UMR 5219, Université de Toulouse ; CNRS, aUT1, F-31042 Toulouse, France
Conference: nips 2022 (main track)
Keywords: Deep Learning;ReLU networks;Conditions of identifiability;Lifting operator
Decision: Poster
Title: Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Authors: Andrew Wagenmaker, Kevin Jamieson
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195
Conference: nips 2022 (main track)
Keywords: reinforcement learning;reinforcement learning theory;sequential decision making;function approximation;PAC;instance-dependence
Decision: Poster
Title: Composite Feature Selection Using Deep Ensembles
Authors: Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Cambridge; University of Cambridge, The Alan Turing Institute, University of California, Los Angeles
Conference: nips 2022 (main track)
Keywords: Feature Selection;Group Feature Selection
Decision: Poster
Title: Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding
Authors: Eslam Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: nips 2022 (main track)
Keywords: 3D Visual Grounding;Multi-Modal;3D;3D Detection;Synthetic 2D generation.
Decision: Poster
Title: Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
Authors: Rishi Bommasani, Kathleen A. Creel, Ananya Kumar, Dan Jurafsky, Percy Liang
Affiliations: Philosophy, Computer Science, Northeastern University; Linguistics, Computer Science, Stanford University; Computer Science, Stanford University
Conference: nips 2022 (main track)
Keywords: systemic harms of ML;sharing;fairness;algorithmic monoculture;foundation models;AI Ethics
Decision: Poster
Title: A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval
Authors: Hao Li, Jingkuan Song, Lianli Gao, Pengpeng Zeng, Haonan Zhang, Gongfu Li
Affiliations: Tencent Wechat Group, Shenzhen, China; Center for Future Media, University of Electronic Science and Technology of China
Conference: nips 2022 (main track)
Keywords: cross-modal retrieval;probabilistic embedding;image-text matching;multiplicity;metric learning;robust
Decision: Poster
Title: Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
Authors: Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi
Affiliations: Yale University; National Technical University of Athens; Yale University, Google Research
Conference: nips 2022 (main track)
Keywords: multiclass classification;universal learning rates;partial concept classes;learning theory
Decision: Poster
Title: Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
Authors: Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley Osher, Thieu Vo
Affiliations: FPT Software AI Center, Ha Noi, Vietnam; Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Department of Mathematics, University of California, Los Angeles
Conference: nips 2022 (main track)
Keywords: neural ordinary differential equations;nesterov;momentum
Decision: Poster
Title: Gradient Descent: The Ultimate Optimizer
Authors: Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, ERIK MEIJER
Affiliations: Meta, Inc., Menlo Park, CA; MIT CSAIL, Cambridge, MA
Conference: nips 2022 (main track)
Keywords: automatic differentiation;differentiable programming;hyperparameter optimization
Decision: Poster
Title: Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Authors: Shengming Yuan, Qilong Zhang, Lianli Gao, Yaya Cheng, Jingkuan Song
Affiliations: Center for Future Media, University of Electronic Science and Technology of China
Conference: nips 2022 (main track)
Keywords: unrestricted color attack;transferability;flexible;natural;semantic-based
Decision: Poster
Title: Active Learning for Multiple Target Models
Authors: Ying-Peng Tang, Sheng-Jun Huang
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Collaborative Innovation Center of Novel Software Technology and Industrialization, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing 211106, China
Conference: nips 2022 (main track)
Keywords: active learning;machine learning
Decision: Poster
Title: Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
Authors: Daniel Vera Nieto, Luigi Celona, Clara Fernandez Labrador
Affiliations: DISCo, University of Milano-Bicocca, Milano, IT; Media Technology Center (MTC), ETH Zurich, Zurich, CH
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Image aesthetic assessment;Dataset;Photo critiques;Aesthetic image captioning
Decision: Poster
Title: Perturbation Learning Based Anomaly Detection
Authors: Jinyu Cai, Jicong Fan
Affiliations: Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; Fuzhou University, Shenzhen Research Institute of Big Data
Conference: nips 2022 (main track)
Keywords: Anomaly detection;Machie learning;Deep learning
Decision: Poster
Title: Why neural networks find simple solutions: The many regularizers of geometric complexity
Authors: Benoit Dherin, Michael Munn, Mihaela Rosca, David Barrett
Affiliations: DeepMind, London; University College London; DeepMind, London; Google
Conference: nips 2022 (main track)
Keywords: Deep Learning;Deep Learning Theory;Theory;Neural Networks;Regularization;Implicit Regularization;Smoothness;Complexity;Double-Descent
Decision: Poster
Title: Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning
Authors: Yuchong Sun, Hongwei Xue, Ruihua Song, Bei Liu, Huan Yang, Jianlong Fu
Affiliations: University of Science and Technology of China, Hefei, China; Renmin University of China, Beijing, China; Microsoft Research, Beijing, China
Conference: nips 2022 (main track)
Keywords: video-language pre-training
Decision: Poster
Title: On the difficulty of learning chaotic dynamics with RNNs
Authors: Jonas Mikhaeil, Zahra Monfared, Daniel Durstewitz
Affiliations: Department of Mathematics & Informatics and Cluster of Excellence STRUCTURES, Heidelberg University, Heidelberg, Germany; Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany; Interdisciplinary Center for Scientific Computing, Heidelberg University; Department of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
Conference: nips 2022 (main track)
Keywords: Recurrent neural networks;Dynamical systems;Attractors;Time series analysis;Chaos;Exploding and vanishing gradient problem;Teacher forcing
Decision: Highlighted
Title: Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
Authors: David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson
Affiliations: IRT Saint-Exupéry, IMT, Université Paul Sabatier, Toulouse, France; ISAE-SUPAERO, Université de Toulouse, ANITI, Toulouse, France; IRT Saint-Exupéry, ISAE-SUPAERO, Toulouse, France; IRT Saint-Exupéry, ISAE-SUPAERO, IMT, INSA Toulouse, ANITI, Toulouse, France
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;Generalization
Decision: Poster
Title: Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport
Authors: Matthias Bitzer, Mona Meister, Christoph Zimmer
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany
Conference: nips 2022 (main track)
Keywords: Bayesian Optimization;Gaussian Process;Kernel Search;Kernel
Decision: Poster
Title: Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Authors: Alexander Thebelt, Calvin Tsay, Robert Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
Affiliations: Imperial College London, London, UK; Cooperative State University, Mannheim, Germany; BASF SE, Ludwigshafen, Germany
Conference: nips 2022 (main track)
Keywords: Bayesian Optimization;Tree Ensembles;Global Optimization;Known Constraints;Black-box Optimization;Mixed-Variable Spaces;Hybrid Spaces
Decision: Poster
Title: Explaining Preferences with Shapley Values
Authors: Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas, Dino Sejdinovic
Affiliations: Shaped, New York; School of Computer and Mathematical Sciences, University of Adelaide; Amazon, London; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Interpretability;Preference Learning;Kernel;Shapley Values;RKHS
Decision: Poster
Title: Parallel Tempering With a Variational Reference
Authors: Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté, Trevor Campbell
Affiliations: Department of Statistics, University of British Columbia; Department of Statistics, University of Oxford
Conference: nips 2022 (main track)
Keywords: Bayesian inference;parallel tempering;variational inference;Markov chain Monte Carlo
Decision: Poster
Title: Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Authors: Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, YUQI ZHU, Zhi Jin
Affiliations: Key Laboratory of High Confidence Software Technologies (Peking University), Ministry of Education; Institute of Software, EECS, Peking University, Beijing, China
Conference: nips 2022 (main track)
Decision: Poster
Title: Active Learning Polynomial Threshold Functions
Authors: Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu
Affiliations: Department of Computer Science, Columbia University; Department of Computer Science, Stanford University; Department of Mathematics, Massachusetts Institute of Technology; Department of Computer Science and Engineering, University of California, San Diego
Conference: nips 2022 (main track)
Keywords: Statistical Learning Theory;Active Learning;Polynomial Threshold Functions;Enriched Queries
Decision: Poster
Title: Provable General Function Class Representation Learning in Multitask Bandits and MDP
Authors: Rui Lu, Andrew Zhao, Simon Du, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: nips 2022 (main track)
Keywords: reinforcement learning;multi-task;representation learning;theory
Decision: Poster
Title: Inductive Logical Query Answering in Knowledge Graphs
Authors: Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
Affiliations: Mila, Université de Montréal; Stanford University; Mila, McGill University; Mila, HEC Montréal, CIFAR AI Chair
Conference: nips 2022 (main track)
Keywords: inductive graph reasoning;complex query answering;logical queries;knowledge graphs;graph neural networks;inductive representation learning
Decision: Poster
Title: Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Authors: Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
Affiliations: Department of Precision Instrument, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing 100084, China
Conference: nips 2022 (main track)
Keywords: Perceptual grouping;Binding problem;Time coding;Neuronal synchrony;Top-down attention;Compositional generalization;Object learning;Hybrid neural network;Spiking neural network;Artificial neural network
Decision: Poster
Title: CASA: Category-agnostic Skeletal Animal Reconstruction
Authors: Yuefan Wu, Zeyuan Chen, Shaowei Liu, Zhongzheng Ren, Shenlong Wang
Affiliations: University of Science and Technology of China; University of Illinois Urbana-Champaign
Conference: nips 2022 (main track)
Keywords: articulation;inverse graphics;3D reconstruction;animation
Decision: Poster
Title: DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
Authors: Gang Li, Xiang Li, Yujie Wang, Wu Yichao, Ding Liang, Shanshan Zhang
Affiliations: Nanjing University of Science and Technology, SenseTime Research; Nankai University, SenseTime Research; SenseTime Research
Conference: nips 2022 (main track)
Keywords: object detection;semi-supervised learning;semi-supervised object detection
Decision: Poster
Title: Eliciting Thinking Hierarchy without a Prior
Authors: Yuqing Kong, Yunqi Li, Yubo Zhang, Zhihuan Huang, Jinzhao Wu
Affiliations: CFCS and School of Computer Science, Peking University; CFCS and School of EECS, Peking University
Conference: nips 2022 (main track)
Keywords: crowdsourcing;information elicitation;peer prediction;cognitive hierarchy;bounded rationality
Decision: Poster
Title: AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies
Authors: Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy
Affiliations: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; S-Lab, Nanyang Technological University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: 2D animation;cartoon;correspondence;optical flow;matching
Decision: Poster
Title: Multi-Class $H$-Consistency Bounds
Authors: Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
Affiliations: Google Research, New York, NY 10011; Courant Institute, New York, NY 10012; Google Research & Courant Institute, New York, NY 10011
Conference: nips 2022 (main track)
Keywords: multi-class classification;consistency;surrogate losses;adversarial learning
Decision: Poster
Title: Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Authors: Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David Fleet, Mohammad Norouzi
Affiliations: Google Research, Brain Team, Toronto, Ontario, Canada; Google Research, Brain Team, Toronto, Ontario, Canada; University of Toronto; Vector Institute
Conference: nips 2022 (main track)
Keywords: text-to-image;generative models;diffusion models
Decision: Poster
Title: Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Authors: Yuri Fonseca, Yuri Saporito
Affiliations: Decision, Risk and Operations, Columbia University, New York, NY; School of Applied Mathematics, Getulio Vargas Foundation, Rio de Janeiro, Brazil
Conference: nips 2022 (main track)
Keywords: Statistical Learning;Inverse Problems;Stochastic Gradient Descent
Decision: Poster
Title: Equivariant Networks for Crystal Structures
Authors: Oumar Kaba, Siamak Ravanbakhsh
Affiliations: School of Computer Science, McGill University, Mila - Quebec Artiﬁcial Intelligence Institute
Conference: nips 2022 (main track)
Keywords: materials;deep learning;symmetry;equivariance;crystals;graph neural networks;geometric deep learning
Decision: Poster
Title: A Fast Post-Training Pruning Framework for Transformers
Authors: Woosuk Kwon, Sehoon Kim, Michael Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
Affiliations: Samsung Semiconductor, Inc.; UC Berkeley, ICSI, & LBNL; UC Berkeley
Conference: nips 2022 (main track)
Keywords: Pruning;Compression;Transformers
Decision: Poster
Title: Knowledge Distillation: Bad Models Can Be Good Role Models
Authors: Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz
Affiliations: Harvard University & Mobileye; University of California San Diego; Hebrew University & Mobileye
Conference: nips 2022 (main track)
Keywords: Knowledge Distillation;Teacher-Student;Learning Theory;Learning to Sample;Ensembling
Decision: Poster
Title: Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
Authors: Elad Ben Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Affiliations: MIT-IBM Lab; Tel Aviv University, IBM Research; Tel Aviv University, Google Research; Tel Aviv University; UC Berkeley
Conference: nips 2022 (main track)
Keywords: video models;object centric models;image-video
Decision: Poster
Title: NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
Authors: Jian Liang, Chenfei Wu, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
Affiliations: Microsoft Research Asia; Microsoft Azure AI; Peking University
Conference: nips 2022 (main track)
Keywords: Image synthesis;video synthesis
Decision: Poster
Title: Generalised Mutual Information for Discriminative Clustering
Authors: Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith HARCHAOUI, Mickaël Leclercq, Arnaud Droit, Frederic Precioso
Affiliations: Université Côte d’Azur, Inria, CNRS, I3S, Maasai team, CHU de Québec Research Center, Laval University; CHU de Québec Research Center, Laval University; Jellysmack AI Labs, Research and Development; Université Côte d’Azur, Inria, CNRS, LJAD, Maasai team; Université Côte d’Azur, Inria, CNRS, I3S, Maasai team
Conference: nips 2022 (main track)
Keywords: Unsupervised learning;Clustering;Deep learning;Information Theory
Decision: Poster
Title: Self-supervised surround-view depth estimation with volumetric feature fusion
Authors: Jung-Hee Kim, Junhwa Hur, Tien Phuoc Nguyen, Seong-Gyun Jeong
Affiliations: 42dot Inc.; Hyundai Motor Group Innovation Center; Google Research
Conference: nips 2022 (main track)
Keywords: Surround-view depth estimation;Monocular depth;Self-supervised learning;Depth synthesis
Decision: Poster