hunoutl/paperlists huggingface dataset:
Title: Identification of Nonlinear Latent Hierarchical Models
Authors: Lingjing Kong, Biwei Huang, Feng Xie, Eric Xing, Yuejie Chi, Kun Zhang
Affiliations: University of California San Diego; Carnegie Mellon University; Beijing Technology and Business University
Conference: nips 2023 (main track)
Keywords: Causal discovery;causal representation learning;latent variable models;causal structure learning;causal identifiability.
Decision: Poster
Title: MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks
Authors: Allen Nie, Yuhui Zhang, Atharva Shailesh Amdekar, Chris Piech, Tatsunori Hashimoto, Tobias Gerstenberg
Affiliations: ICME, Stanford University; Psychology, Stanford University; Computer Science, Stanford University
Conference: nips 2023 (main track)
Keywords: cognitive science;causal reasoning;moral reasoning;dataset;language models
Decision: Poster
Title: When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
Authors: Jose Blanchet, Haoxuan Chen, Yiping Lu, Yiping Lu, Lexing Ying
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012; Department of Mathematics and ICME, Stanford University, Stanford, CA 94305; ICME, Stanford University, Stanford, CA 94305; Department of MS&E and ICME, Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: Information-theoretic Lower Bounds;Sobolev Embedding Theorem;Quadrature Rule
Decision: Poster
Title: Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
Authors: Mathias Lechner, lianhao yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin Hasani, Joshua Rountree, Daniela Rus
Affiliations: United States Air Force; MIT CSAIL
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multi-agent reinforcement learning;JAX
Decision: Poster
Title: DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
Authors: Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet
Affiliations: Georgia Institute of Technology; Microsoft Research
Conference: nips 2023 (main track)
Keywords: mixture-of-experts;moe;object detection;mixture of datasets;multiple datasets
Decision: Poster
Title: Multi-Agent First Order Constrained Optimization in Policy Space
Authors: Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
Affiliations: University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; University of Science and Technology of China, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center; Institute for AI, Peking University
Conference: nips 2023 (main track)
Keywords: Safe Multi-agent Reinforcement Learning;constrained policy optimisation;first-order optimisation
Decision: Poster
Title: LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Authors: Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
Affiliations: Tokyo University of Science; The University of Tokyo, LY Corporation; The University of Tokyo
Conference: nips 2023 (main track)
Keywords: out-of-distribution detection;vision-language foundation model;prompt learning
Decision: Poster
Title: Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction
Authors: Yu-Kun Qiu, Guo-Hao Xu, Wei-Shi Zheng
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; School of Computer Science and Engineering, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China
Conference: nips 2023 (main track)
Keywords: 3D reconstruction
Decision: Poster
Title: Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
Authors: Kruno Lehman, Alain Durmus, Umut Simsekli
Affiliations: Inria Paris, CNRS, Ecole Normale Supérieure, PSL Research University, Paris, France; CMAP, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Paris, France
Conference: nips 2023 (main track)
Keywords: SGD;heavy-tails;wasserstein convergence
Decision: Spotlight
Title: Textually Pretrained Speech Language Models
Authors: Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis CONNEAU, Felix Kreuk, Jade Copet, Alexandre Defossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi
Affiliations: The Hebrew University of Jerusalem; OpenAI; FAIR Team, Meta
Conference: nips 2023 (main track)
Keywords: LLM;speech;generative;GSLM
Decision: Poster
Title: Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
Authors: Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
Affiliations: Peking University; Washington University in St. Louis; JD Explore Academy
Conference: nips 2023 (main track)
Keywords: Graph neural network;expressive power;Folklore Weisfeiler-Lehman test.
Decision: Poster
Title: Language Is Not All You Need: Aligning Perception with Language Models
Authors: Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Bjorck, Vishrav Chaudhary, Subhojit Som, XIA SONG, Furu Wei
Affiliations: Microsoft
Conference: nips 2023 (main track)
Keywords: multimodal large language model
Decision: Poster
Title: Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
Authors:  Arthur da Cunha, Université Côte d'Azur, Inria, CNRS, I3S, Aarhus University, Aarhus, Denmark, dac@cs.au.dk, "3026 Francesco d'Amore, Aalto University, Bocconi University, Espoo, Finland, francesco.damore@aalto.fi "3026 Emanuele Natale, Université Côte d'Azur, Inria, CNRS, I3S, Sophia Antipolis, France, emanuele.natale@inria.fr, 
Affiliations: Aalto University; Bocconi University, Espoo, Finland; Université Côte d’Azur, Inria, CNRS, I3S; Aarhus University, Aarhus, Denmark; Université Côte d’Azur, Inria, CNRS, I3S, Sophia Antipolis, France
Conference: nips 2023 (main track)
Keywords: lottery ticket hypothesis;convolutional neural network;network pruning;structured pruning;random subset sum
Decision: Poster
Title: Guiding Large Language Models via Directional Stimulus Prompting
Authors: Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan
Affiliations: University of California, Santa Barbara; Microsoft
Conference: nips 2023 (main track)
Keywords: Black-box Large Language Models;Directional Stimulus Prompting;Hint;Reinforcement learning;Prompt optimization
Decision: Poster
Title: Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
Authors: Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii
Affiliations: Kyoto University, ATR; The University of Tokyo; Kyoto University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Reinforcement learning;Game AI;AlphaZero;Multi-agent
Decision: Poster
Title: Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
Authors: Hussein Mozannar, Jimin Lee, Dennis Wei, Prasanna Sattigeri, Subhro Das, David Sontag
Affiliations: MIT-IBM Watson AI Lab, Cambridge, MA; CSAIL and IMES, Massachusetts Institute of Technology, Cambridge, MA; IBM Research, Cambridge, MA
Conference: nips 2023 (main track)
Keywords: human-ai;collaboration;onboarding;region-discovery;LLM;data description
Decision: Spotlight
Title: Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Authors: Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang
Affiliations: College of Computer Science and Technology, Zhejiang University; College of Computer Science and Technology, Zhejiang University of Technology
Conference: nips 2023 (main track)
Keywords: neuroscience;neural coding;sensory neuroscience;visual coding;SNN;spiking neural networks;generative model;latent variable model;cognitive computational neuroscience;computational neuroscience
Decision: Poster
Title: Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Authors: Dror Freirich, Tomer Michaeli, Ron Meir
Affiliations: Technion - Israel Institute of Technology
Conference: nips 2023 (main track)
Keywords: Kalman filter;estimation theory;causal filtering;signal processing;distortion-perception tradeoff
Decision: Poster
Title: Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Authors: Stefania Ionescu, Yuhao Du, Kenneth Joseph, Ancsa Hannak
Affiliations: Department of CS and Engineering, University at Buffalo; Department of Informatics, University of Zürich
Conference: nips 2023 (main track)
Keywords: matching markets;strategic behaviour;ML-based forecasting;recommender systems;adversarial attacks;agent-based modelling
Decision: Poster
Title: Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
Authors: Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Fatih Ilhan, Selim Tekin, Ling Liu
Affiliations: School of Computer Science, Georgia Institute of Technology, Atlanta, USA
Conference: nips 2023 (main track)
Keywords: Federated learning;backdoor defense;isolated subspace training.
Decision: Poster
Title: Localized Symbolic Knowledge Distillation for Visual Commonsense Models
Authors: Jae Sung Park, Jack Hessel, Khyathi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi
Affiliations: Yonsei University; University of Washington; Carnegie Mellon University; Allen Institute for Artiﬁcial Intelligence; Microsoft Research
Conference: nips 2023 (main track)
Keywords: multimodal;commonsense reasoning;instruction tuning;large language model
Decision: Poster
Title: SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
Authors: Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran, elies Gherbi, Hatem Hajri, Nader Masmoudi
Affiliations: New York University; IRT SystemX & Safran; Air Liquide; IRT SystemX
Conference: nips 2023 (main track)
Keywords: Diffusion Probabilistic Models;Exponential SDE methods;Image Generation;Generative Models
Decision: Poster
Title: Nonparametric Identifiability of Causal Representations from Unknown Interventions
Authors: Julius von Kügelgen, Michel Besserve, Liang Wendong, Luigi Gresele, Armin Kekić, Elias Bareinboim, David Blei, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Columbia University, USA
Conference: nips 2023 (main track)
Keywords: Causal representation learning;identifiability;theory;nonparametric;interventions;multi-environment
Decision: Poster
Title: Temporally Disentangled Representation Learning under Unknown Nonstationarity
Authors: Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen, Juan Carlos Niebles, Eric Xing, Kun Zhang
Affiliations: Salesforce Research; Carnegie Mellon University; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Unsupervised learning;Temporal disentanglement;Nonlinear ICA;Identifiability theory
Decision: Poster
Title: Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
Authors: Kumar Ashutosh, Santhosh Kumar Ramakrishnan, Triantafyllos Afouras, Kristen Grauman
Affiliations: UT Austin and FAIR, Meta; FAIR, Meta; UT Austin
Conference: nips 2023 (main track)
Keywords: Instructional Videos;Task Graph;Keystep Recognition
Decision: Poster
Title: Training Neural Networks is NP-Hard in Fixed Dimension
Authors: Vincent Froese, Christoph Hertrich
Affiliations: Algorithmics and Computational Complexity, Faculty IV, TU Berlin, Berlin, Germany; Department of Mathematics, London School of Economics and Political Science, London, UK
Conference: nips 2023 (main track)
Keywords: Computational Complexity;Neural Network;Rectified Linear Unit;Empirical Risk Minimization;Parameterized Complexity
Decision: Poster
Title: Auditing for Human Expertise
Authors: Rohan Alur, Loren Laine, Darrick Li, Manish Raghavan, Devavrat Shah, Dennis Shung
Affiliations: EECS, MIT; School of Medicine, Yale; Sloan, EECS, MIT; EECS, IDSS, LIDS, SDSC, MIT
Conference: nips 2023 (main track)
Keywords: hypothesis testing;human-AI complementarity;machine learning for healthcare
Decision: Spotlight
Title: Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
Authors: Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; Shenzhen Institute of Artificial Intelligence and Robotics for Society, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China
Conference: nips 2023 (main track)
Keywords: Backdoor Defense;Backdoor Learning;Trustworthy AI
Decision: Poster
Title: Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean
Authors: Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis
Affiliations: Orion Lab, Institute for Astronomy, Astrophysics, Space Applications, and Remote Sensing, National Observatory of Athens; Image Processing Laboratory (IPL), Universitat de València
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: wildfires;public dataset;machine learning dataset
Decision: Oral
Title: Improving multimodal datasets with image captioning
Authors: Thao Nguyen, Samir Yitzhak Gadre, Gabriel Ilharco, Sewoong Oh, Ludwig Schmidt
Affiliations: University of Washington; University of Washington, Allen Institute for Artificial Intelligence; University of Washington, Google Research; Columbia University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: web datasets;image captioning;synthetic data;CLIP training
Decision: Poster
Title: Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
Authors: Jiaxin Zhang, Zhuohang Li, Kamalika Das, Sricharan Kumar
Affiliations: Vanderbilt University; Intuit AI Research
Conference: nips 2023 (main track)
Keywords: multi-fidelity optimization;cost-effective learning;exploration-exploitation query;limited annotation budgets
Decision: Poster
Title: Test-Time Distribution Normalization for Contrastively Learned Visual-language Models
Authors: Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim
Affiliations: Cornell University; University of California, Berkeley; University of Central Florida
Conference: nips 2023 (main track)
Keywords: contrastive learning;pre-trained visual-language models;zero-shot learning;test-time augmentation
Decision: Poster
Title: Regret Minimization via Saddle Point Optimization
Authors: Johannes Kirschner, Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvari
Affiliations: Department of Computer Science, University of Alberta
Conference: nips 2023 (main track)
Keywords: sequential decision-making;decision-estimation coefficient;regret minimization;bandits;reinforcement learning;partial monitoring
Decision: Poster
Title: UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Authors: Xin Li, Sima Behpour, Thang Long Doan, Wenbin He, Liang Gou, Liu Ren
Affiliations: Bosch Research North America, Bosch Center for Artificial Intelligence (BCAI)
Conference: nips 2023 (main track)
Keywords: Unsupervised prompt learning;UP-DP;Data preselection
Decision: Poster
Title: Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
Authors: Shu-Lin Xu, Yifan Sun, Faen Zhang, Anqi Xu, Xiu-Shen Wei, Yi Yang
Affiliations: Baidu Inc.; AInnovation Technology Group Co., Ltd; School of Computer Science and Engineering, and Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Southeast University; CCAI, College of Computer Science and Technology, Zhejiang University; University of Toronto
Conference: nips 2023 (main track)
Keywords: Fine-grained learning;Coarse-to-fine learning;Hyperbolic space;Hierarchical margin
Decision: Poster
Title: Graph of Circuits with GNN for Exploring the Optimal Design Space
Authors: Aditya Shahane, Saripilli Swapna Manjiri, Ankesh Jain, Sandeep Kumar
Affiliations: Bharti School of Telecommunication Technology and Management, Indian Institute of Technology Delhi; Bharti School of Telecommunication Technology and Management, Electrical Engineering, Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi; Electrical Engineering, Indian Institute of Technology Delhi
Conference: nips 2023 (main track)
Keywords: Analog design optimization;Analog synthesis;Graph Neural Networks;EDA;Graph learning;Optimization
Decision: Poster
Title: Federated Learning via Meta-Variational Dropout
Authors: Insu Jeon, Minui Hong, Junhyeog Yun, Gunhee Kim
Affiliations: Seoul National University, Seoul, South Korea
Conference: nips 2023 (main track)
Keywords: Personalized Federated Learning;Variational Dropout;Meta-Learning;Bayesian Neural Network
Decision: Poster
Title: Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Authors: Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: New York University; University of Maryland
Conference: nips 2023 (main track)
Keywords: Diffusion Model;Generative AI;Prompt Discovery
Decision: Poster
Title: LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
Authors: Shangyuan LIU, Linglingzhi Zhu, Anthony Man-Cho So
Affiliations: The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Graph Signal Processing;Spectral Template;Network Inference;Optimization;Linearized ADMM
Decision: Poster
Title: Continuous-Time Functional Diffusion Processes
Authors: Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Affiliations: Stellantis, France; Aalto University, Finland; EURECOM, France
Conference: nips 2023 (main track)
Keywords: Hilbert spaces;Diffusion models;Stochastic Partial Differential Equations
Decision: Poster
Title: Batchnorm Allows Unsupervised Radial Attacks
Authors: Amur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart
Affiliations: David R. Cheriton School of Computer Science, University of Waterloo, Vector Institute; Columbia University
Conference: nips 2023 (main track)
Keywords: Adversarial;Batch normalization;Robustness;Geometric;radial
Decision: Poster
Title: OpenAssistant Conversations - Democratizing Large Language Model Alignment
Authors: Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, Sotiris Anagnostidis, Zhi Rui Tam, Keith Stevens, Abdullah Barhoum, Duc Nguyen, Oliver Stanley, Richárd Nagyfi, Shahul ES, Sameer Suri, David Glushkov, Arnav Dantuluri, Andrew Maguire, Christoph Schuhmann, Huu Nguyen, Alexander Mattick
Affiliations: ; googlemail.com; provisio.com
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: dataset;human labels;instruction tuning;conversation;rlhf;open-source
Decision: Oral
Title: Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry
Authors: Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
Affiliations: Yonsei University; Seoul National University; Korea Institute for Advanced Study
Conference: nips 2023 (main track)
Keywords: diffusion models;semantic image editing;differential geometry
Decision: Poster
Title: Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
Authors: Wei Dong, Dawei Yan, Zhijun Lin, Peng Wang
Affiliations: School of Computer Science, Northwestern Polytechnical University; College of Information and Control Engineering, Xi’an University of Architecture and Technology; School of Computer Science and Engineering, University of Electronic Science and Technology of China
Conference: nips 2023 (main track)
Keywords: computer vision; vision transformer; visual adapter; transfer learning
Decision: Poster
Title: Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
Authors: Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Peng Cheng Laboratory, Shenzhen, China; Department of Computer Science, City University of Hong Kong, Hong Kong, China; The City University of Hong Kong Shenzhen Research Institute, Shenzhen, China; JD AI Research, Beijing, China; School of Software Technology, Zhejiang University, Ningbo, China; Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada
Conference: nips 2023 (main track)
Keywords: linear bandits;heavy-tailed;truncated;mean of medians
Decision: Poster
Title: Learning to Taste: A Multimodal Wine Dataset
Authors: Thoranna Bender, Simon Sørensen, Alireza Kashani, Kristjan Eldjarn Hjorleifsson, Grethe Hyldig, Søren Hauberg, Serge Belongie, Frederik Warburg
Affiliations: Vivino; Technical University of Denmark; California Institute of Technology; University of Copenhagen
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Crowd annotations;Multi-modal;Concept embeddings
Decision: Poster
Title: Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model
Authors: Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J Kochenderfer, Mac Schwager
Affiliations: Stanford University; Imperial College London
Conference: nips 2023 (main track)
Keywords: Uncertainty;Conformal Prediction;Dynamics Model
Decision: Poster
Title: RDumb: A simple approach that questions our progress in continual test-time adaptation
Authors: Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge
Affiliations: University of Tübingen, Tübingen AI Center, Germany; EPFL, Geneva, Switzerland
Conference: nips 2023 (main track)
Keywords: test time adaptation;continual adaptation;benchmarking;imagenet-c;imagenet classification;robustness;continual learning;imagenet benchmark
Decision: Poster
Title: Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition
Authors: Xiwen WANG, Jiaxi Ying, Daniel Palomar
Affiliations: The Hong Kong University of Science and Technology; The Hong Kong University of Science and Technology, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute
Conference: nips 2023 (main track)
Keywords: MTP2 Gaussian Graphical Model;High-dimensional precision matrix estimation;Bridge-block decomposition.
Decision: Poster
Title: Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Authors: Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong
Affiliations: The University of Hong Kong; Microsoft
Conference: nips 2023 (main track)
Keywords: computer vision;diffusion model;text-to-image generation
Decision: Poster
Title: Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
Authors: Jiaming Qiu, Xiongtao Dai
Affiliations: Division of Biostatistics, School of Public Health, University of California, Berkeley; Fred Hutchinson Cancer Center
Conference: nips 2023 (main track)
Keywords: metric learning;manifold learning;local metric;dissimilarity;geometry
Decision: Poster
Title: Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
Authors: Oscar Li, James Harrison, Jascha Sohl-Dickstein, Virginia Smith, Luke Metz
Affiliations: Machine Learning Department, School of Computer Science, Carnegie Mellon University; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Evolution Strategies;unrolled computation graph;online gradient estimation;variance reduction;stochastic gradient estimation
Decision: Poster
Title: Efficient Activation Function Optimization through Surrogate Modeling
Authors: Garrett Bingham, Risto Miikkulainen
Affiliations: The University of Texas at Austin and Cognizant AI Labs, San Francisco, CA 94105
Conference: nips 2023 (main track)
Keywords: automl;activation function;surrogate modeling;fisher information matrix;eigenvalues;optimization;umap;imagenet
Decision: Poster