hunoutl/paperlists huggingface dataset:
Title: Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
Authors: Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
Affiliations: Australian National University; Sony AI
Conference: nips 2023 (main track)
Keywords: Privacy Assessment;Reconstructed Images;Evaluation Metrics;Human Perception
Decision: Spotlight
Title: Efficient Neural Music Generation
Authors: Max W. Y. Lam, Qiao Tian, Tang Li, Zongyu Yin, Siyuan Feng, Ming Tu, Yuliang Ji, Rui Xia, Mingbo Ma, Xuchen Song, Jitong Chen, Wang Yuping, Yuxuan Wang
Affiliations: Speech, Audio & Music Intelligence (SAMI), ByteDance
Conference: nips 2023 (main track)
Keywords: Music Generation;Language Model;Diffusion Model;MusicLM
Decision: Poster
Title: Exploring Diverse In-Context Configurations for Image Captioning
Authors: Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng
Affiliations: The Chinese University of HongKong, Shenzhen; School of Computer Science & Engineering, Key Lab of New Generation Artificial Intelligence Technology & Its Interdisciplinary Applications (Ministry of Education), Southeast University
Conference: nips 2023 (main track)
Keywords: Image Caption; Few-shot Prompt; Vision Language Model;
Decision: Poster
Title: On the Role of Randomization in Adversarially Robust Classification
Authors: Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Negrevergne, Yann Chevaleyre
Affiliations: Payflows; CNRS, LAMSADE, Université Paris Dauphine - PSL
Conference: nips 2023 (main track)
Keywords: adversarial attacks;robustness;adversarial;attacks;deep learning;randomization;randomized ensembles
Decision: Spotlight
Title: VRA: Variational Rectified Activation for Out-of-distribution Detection
Authors: Mingyu Xu, Zheng Lian, Bin Liu, Jianhua Tao
Affiliations: The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Department of Automation, Tsinghua University; Beijing National Research Center for Information Science and Technology, Tsinghua University; The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Out-of-distribution Detection
Decision: Poster
Title: Optimality of Message-Passing Architectures for Sparse Graphs
Authors: Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
Affiliations: David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada; Department of Statistics and Actuarial Science, Department of Applied Mathematics, David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada
Conference: nips 2023 (main track)
Keywords: graph neural networks;message passing;bayesian inference;node classification;contextual stochastic block model
Decision: Poster
Title: Zero-Shot Anomaly Detection via Batch Normalization
Authors: Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
Affiliations: UC Irvine; Bosch Center for AI; TU Kaiserslautern
Conference: nips 2023 (main track)
Keywords: deep anomaly detection;zero-shot learning;batch normalization
Decision: Poster
Title: On the Gini-impurity Preservation For Privacy Random Forests
Authors: XinRan Xie, Man-Jie Yuan, Xuetong Bai, Wei Gao, Zhi-Hua Zhou
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: classification;random forests;privacy-preserving machine learng;data encrytion
Decision: Spotlight
Title: Towards Test-Time Refusals via Concept Negation
Authors: Peiran Dong, Song Guo, Junxiao Wang, Bingjie WANG, Jiewei Zhang, Ziming Liu
Affiliations: Hong Kong Polytechnic University; Hong Kong University of Science and Technology; King Abdullah University of Science and Technology & SDAIA-KAUST AI
Conference: nips 2023 (main track)
Keywords: Diffusion models;test-time refusal;concept negation;safety in generative models
Decision: Poster
Title: How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
Authors: Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, xiao zhang, Hongtu Zhou, Chang Huang, Chen Ye
Affiliations: MOE Key Lab of Embedded System and Service Computing, Tongji University, Shanghai, China; Department of Computer Science, Tongji University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: model-based reinforcement learning;model shift;model bias;fine-tuning;performance difference bound
Decision: Poster
Title: 3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection
Authors: Yunhao Ge, Hong-Xing Yu, Cheng Zhao, Yuliang Guo, Xinyu Huang, Liu Ren, Laurent Itti, Jiajun Wu
Affiliations: Stanford University; Bosch Research North America, Bosch Center for Artificial Intelligence (BCAI); University of Southern California
Conference: nips 2023 (main track)
Keywords: 3D Copy-Paste;Object Insertion;Monocular 3D Object Detection;Physically Plausible;Data Generation
Decision: Poster
Title: A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Authors: Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
Affiliations: Mila - Québec AI Institute, University of Montréal; LG Electronics AI Lab; Peking University; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Chair; Intel AI Lab
Conference: nips 2023 (main track)
Keywords: Knowledge Graph Reasoning;Path-based Methods;Scalability;A* Algorithm
Decision: Poster
Title: SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
Authors: Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang
Affiliations: SCSE, Nanyang Technological University; S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2023 (main track)
Keywords: unsupervised semantic segmentation; self-supervised learning; smoothness prior
Decision: Poster
Title: This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
Authors: Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin
Affiliations: Duke University; Caltech; Dartmouth College; University of Maine
Conference: nips 2023 (main track)
Keywords: deep learning;interpretability;prototype-based neural network;case-based reasoning
Decision: Poster
Title: Supervised Pretraining Can Learn In-Context Reinforcement Learning
Authors: Jonathan Lee, Annie Xie, Aldo Pacchiano, Yash Chandak, Chelsea Finn, Ofir Nachum, Emma Brunskill
Affiliations: Stanford University; Broad Institute of MIT and Harvard, Boston University
Conference: nips 2023 (main track)
Keywords: decision making;reinforcement learning;in-context learning;bandits;transformers;offline reinforcement learning;exploration;reinforcement learning theory
Decision: Spotlight
Title: Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
Authors: Massil HIHAT, Stéphane Gaïffas, Guillaume Garrigos, Simon Bussy
Affiliations: LOPF, Califrais’ Machine Learning Lab, Paris, France; LOPF, Califrais’ Machine Learning Lab, Paris, France; Université Paris Cité and Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, Paris, France
Conference: nips 2023 (main track)
Keywords: online convex optimization;inventory control;newsvendor;online learning;regret analysis
Decision: Poster
Title: Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Authors: Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
Affiliations: RIKEN Center for Advanced Intelligence Project; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Federated Learning;Data Heterogeneity;Model Cooperation;Mutual Learning;Knowledge Transfer
Decision: Poster
Title: Separable Physics-Informed Neural Networks
Authors: Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park
Affiliations: Department of Artificial Intelligence, Sungkyunkwan University; Department of Mathematical Sciences, KAIST; Department of Mathematics, Sungkyunkwan University
Conference: nips 2023 (main track)
Keywords: partial differential equations;scientific machine learning;physics-informed neural networks;fluid dynamics
Decision: Spotlight
Title: CP-SLAM: Collaborative Neural Point-based SLAM System
Authors: Jiarui Hu, Mao Mao, Hujun Bao, Guofeng Zhang, Zhaopeng Cui
Affiliations: State Key Lab of CAD&CG, Zhejiang University
Conference: nips 2023 (main track)
Keywords: Collaborative SLAM; Neural Point Field; Keyframe-based SLAM; Pose Graph Optimization
Decision: Poster
Title: LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
Authors: Haoxuan Qu, Xiaofei Hui, Yujun Cai, Jun Liu
Affiliations: SUTD, Singapore; Meta, U.S.
Conference: nips 2023 (main track)
Keywords: Deep learning;Open-set object recognition;Large models;Training-free
Decision: Poster
Title: On the Convergence of Black-Box Variational Inference
Authors: Kyurae Kim, Jisu Oh, Kaiwen Wu, Yian Ma, Jacob Gardner
Affiliations: North Carolina State University; University of California, San Diego; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: black-box variational inference;stochastic gradient descent;Bayesian inference;variational inference;probabilistic machine learning;Bayesian machine learning;variational Bayes
Decision: Poster
Title: Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
Authors: Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Ma Chenhao, Guoliang Li, Kevin Chang, Fei Huang, Reynold Cheng, Yongbin Li
Affiliations: DAMO Academy, Alibaba Group; The University of Hong Kong; The Chinese University of Hong Kong, Shenzhen; University of Illinois at Urbana-Champaign; Tsinghua University; MIT CSAIL
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Text-to-SQL Parsing;Large Language Models;Database Grounding;SQL Efficiency
Decision: Spotlight
Title: KuaiSim: A Comprehensive Simulator for Recommender Systems
Authors: Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
Affiliations: Unaffiliated; Kuaishou Technology; City University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Recommender Systems;Reinforcement Learning;Simulator
Decision: Poster
Title: Data Augmentations for Improved (Large) Language Model Generalization
Authors: Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei
Affiliations: Columbia University, Google Research; Johns Hopkins University; Columbia University
Conference: nips 2023 (main track)
Keywords: Counterfactually Augmented Data;Invariant Learning;Out-of-distribution Generalization;Clinical NLP
Decision: Poster
Title: Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
Authors: Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
Affiliations: New York University; Northwestern University; Arizona State University
Conference: nips 2023 (main track)
Keywords: Keypoints;Medical image;self-supervised learning;transformer;segmentation
Decision: Poster
Title: Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
Authors: Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK; Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Denmark; Faculty of Organisational Sciences, University of Belgrade, Serbia
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: synthetic data generation;data-centric AI;tabular data;synthetic data evaluation
Decision: Poster
Title: SwiFT: Swin 4D fMRI Transformer
Authors: Peter Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
Affiliations: Brookhaven National Lab; SungKyunKwan University; Seoul National University
Conference: nips 2023 (main track)
Keywords: fMRI;Swin Transformer;4D;neuroscience
Decision: Poster
Title: Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
Authors: Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing
Affiliations: HKUST (GZ) and HKUST; Kuaishou Technologies; SUSTech; HKUST
Conference: nips 2023 (main track)
Keywords: Offline Reinforcement Learning;GAN;Flow Model;Policy Control
Decision: Poster
Title: SG×P : A Sorghum Genotype × Phenotype Prediction Dataset and Benchmark
Authors: Zeyu Zhang, Robert Pless, Nadia Shakoor, Austin Carnahan, Abby Stylianou
Affiliations: George Washington University; Saint Louis University; Donald Danforth Plant Science Center
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: benchmark;dataset;plant science;ml for science;sorghum;genetics;plant phenotyping
Decision: Poster
Title: Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Authors: Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
Affiliations: Mila, Montreal, Canada; IBM Research, Bangalore, India; IBM Research, Yorktown Heights, USA
Conference: nips 2023 (main track)
Keywords: Explainable AI;Game theory;Invariance
Decision: Poster
Title: NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function
Authors: Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han
Affiliations: Department of Computer Science, Wayne State University, Detroit, USA; School of Software, Tsinghua University, Beijing, China; Kuaishou Technology, Beijing, China; Center for Artificial Intelligence and Robotics, New York University Abu Dhabi, Abu Dhabi, UAE; School of Informatics, Xiamen University, Xiamen, China
Conference: nips 2023 (main track)
Keywords: Point Clouds;Normal Estimation;Neural Gradient
Decision: Poster
Title: Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics
Authors: Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu
Affiliations: Department of Mathematics, Peking University; Institute of Neuroinformatics, University of Zurich; Nat’l Key Lab for Multimedia Information Processing, Nat’l Eng. Lab of Visual Technology, School of Computer Science, Peking University; Nat’l Key Lab for Multimedia Information Processing, Nat’l Eng. Lab of Visual Technology, School of Computer Science, Peking University; Institute for Artiﬁcial Intelligence, Peking University; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Center of Quantitative Biology, Peking University; Department of Psychology, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Continuous attractor neural network; Excitation inhibition balance; Brain-inspired algorithms; Object tracking;
Decision: Spotlight
Title: Does a sparse ReLU network training problem always admit an optimum ?
Authors: TUNG LE, QUOC-TUNG LE, Remi Gribonval, Elisa Riccietti
Affiliations: Univ. Lyon, Inria, CNRS, ENS de Lyon, UCB Lyon 1, LIP UMR 5668, F-69342 Lyon, France
Conference: nips 2023 (main track)
Keywords: Topology;best approximation property;closedness;function space;sparse neural networks
Decision: Poster
Title: DataComp: In search of the next generation of multimodal datasets
Authors: Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
Affiliations: AI2; Columbia University; Graz University of Technology; LAION; University of Washington; Hebrew University; Tel Aviv University; UT Austin; Google Research; Snorkel AI; Apple
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: CLIP;zero-shot;data curation;vision-and-language;datasets;pre-training;benchmark
Decision: Oral
Title: Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Authors: Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang
Affiliations: Microsoft Research Asia, Shanghai, China; China and Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University; Department of Electrical Engineering and Computer Science, University of Michigan; Department of Computer Science, University of Colorado Boulder; School of Microelectronics, Fudan University; School of Mathematics Statistics, University of Glasgow; Department of Engineering Science, University of Oxford
Conference: nips 2023 (main track)
Keywords: Modular Adaptive Training;Efficient Training;Over-parameterized Model;Neural Tangent Kernel.
Decision: Poster
Title: Self-Correcting Bayesian Optimization through Bayesian Active Learning
Authors: Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
Affiliations: Lund University; University of Freiburg; Lund University, Stanford University
Conference: nips 2023 (main track)
Keywords: Bayesian Optimization;Bayesian Active Learning;Gaussian Processes
Decision: Poster
Title: Epistemic Neural Networks
Authors: Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, MORTEZA IBRAHIMI, Xiuyuan Lu, Benjamin Van Roy
Affiliations: Google DeepMind, Efficient Agent Team, Mountain View
Conference: nips 2023 (main track)
Keywords: Uncertainty;Deep Learning;Neural Networks
Decision: Spotlight
Title: Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Authors: Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Ozgur, Olgica Milenkovic
Affiliations: Stanford University; GaTech; UIUC; UIUC & GaTech
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Differential Privacy;Multigranular Topology Protection
Decision: Poster
Title: Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks
Authors: Matthew Farrugia-Roberts
Affiliations: School of Computing and Information Systems, The University of Melbourne
Conference: nips 2023 (main track)
Keywords: theory;neural network theory;structural redundancy;functional equivalence;functional equivalence class;partial identifiability;parameter canonicalisation;parameter space;piecewise-linear;connectivity
Decision: Poster
Title: Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
Authors: Vivek Bharadwaj, Osman Asif Malik, Riley Murray, Laura Grigori, Aydin Buluc, James Demmel
Affiliations: Computational Research Division, Lawrence Berkeley National Lab; Electrical Engineering and Computer Science Department, UC Berkeley; Institute of Mathematics, EPFL & Lab for Simulation and Modelling, Paul Scherrer Institute; International Computer Science Institute
Conference: nips 2023 (main track)
Keywords: Tensor Decomposition;Leverage Scores;Randomized Linear Algebra;Sketching;Khatri-Rao Product;Sparse Tensors
Decision: Poster
Title: AQuA: A Benchmarking Tool for Label Quality Assessment
Authors: Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
Affiliations: Auton Lab, School of Computer Science, Carnegie Mellon University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Label errors;evaluation;design space;benchmarking
Decision: Poster
Title: Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Authors: Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Affiliations: Independent Researcher; Harbin Institute of Technology, Tencent Security Big Data Lab; UC Davis; Harbin Institute of Technology
Conference: nips 2023 (main track)
Keywords: adversarial examples;black-box attack;adversarial transferability
Decision: Poster
Title: Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery
Authors: Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś
Affiliations: Jagiellonian University, Doctoral School of Exact and Natural Sciences, deepsense.ai; IDEAS NCBR, Institute of Mathematics, Polish Academy of Sciences, deepsense.ai; IDEAS NCBR, deepsense.ai, Institute of Mathematics, Polish Academy of Sciences; ETH Zurich, Helmholtz, TU Munich; Warsaw University, IDEAS NCBR; Jagiellonian Univeristy, Faculty of Mathematics and Computer Science; Helmholtz, TU Munich
Conference: nips 2023 (main track)
Keywords: causal discovery;experimental design;active learning;neural networks
Decision: Poster
Title: The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
Authors: Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp
Affiliations: Lund University; Tübingen AI Center, University of Tübingen; University of Tübingen
Conference: nips 2023 (main track)
Keywords: Gaussian;filtering;smoothing;bayesian;state-space models;dynamic-low-rank;high-dimensional;spatio-temporal;Gaussian processes;regression;low rank;state estimation
Decision: Poster
Title: Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
Authors: Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis
Affiliations: University of Warwick; Google Research
Conference: nips 2023 (main track)
Keywords: clustering;k-median;k-means;dynamic algorithms;amortized analysis
Decision: Poster
Title: Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
Authors: Pai Chet Ng, Zhixiang Chi, Yannick Verdie, Juwei Lu, Konstantinos N Plataniotis
Affiliations: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto; Huawei Noah’s Ark Laboratory, Huawei Canada
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: hyperspectral skin analysis;skin-spectra reconstruction;hyperspectral dataset
Decision: Poster
Title: Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective
Authors: Yingying Fan, Yu Wu, Bo Du, Yutian Lin
Affiliations: School of Computer Science, Hubei Luojia Laboratory, Wuhan University
Conference: nips 2023 (main track)
Keywords: Weakly-Supervised Audio-Visual Video Parsing;Language Guided Segment-Level Label Denoising;Dynamic Re-weighting
Decision: Poster
Title: The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data
Authors: Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan
Affiliations: University of Amsterdam, Amsterdam, Netherlands; RIKEN Center for AI Project, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: model interpretability;model understanding;bayesian learning;robustness;adaptive learning
Decision: Poster
Title: SmoothHess: ReLU Network Feature Interactions via Stein's Lemma
Authors: Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis, Jennifer Dy
Affiliations: Northeastern University; Memorial Sloan Kettering Cancer Center
Conference: nips 2023 (main track)
Keywords: Interpretability;Feature Interactions;Stein's Lemma
Decision: Poster
Title: Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory
Authors: Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
Affiliations: Nanyang Technological University; National Laboratory of Radar Signal Processing, Xidian University, Xi’an, Shaanxi 710071, China; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Generative Model;Memory-augmented Generative Model
Decision: Poster