hunoutl/paperlists huggingface dataset:
Title: 3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes
Authors: Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
Affiliations: Stanford University; MIT; Georgia Tech
Conference: nips 2023 (main track)
Keywords: Intuitive Physics;Computer Vision
Decision: Poster
Title: MiliPoint: A Point Cloud Dataset for mmWave Radar
Authors: Han Cui, Shu Zhong, Jiacheng Wu, Zichao Shen, Naim Dahnoun, Yiren Zhao
Affiliations: Department of Computer Science, University College London; Department of Electrical and Electronic Engineering, Imperial College London; School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: mmWave radar;point cloud;keypoint estimation;identification;action classification;human activity recognition;mmWave dataset
Decision: Poster
Title: Faster approximate subgraph counts with privacy
Authors: Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Venkatesh Srinivasan, Anil Vullikanti
Affiliations: Data Sciences and Machine Intelligence Group, Pacific Northwest National Laboratory, USA; Department of Mathematics and Computer Science, Santa Clara University, USA; Department of Computer Science and UV A Biocomplexity Institute and Initiative, University of Virginia, USA
Conference: nips 2023 (main track)
Keywords: differential privacy;subgraph counting;smooth sensitivity;local sensitivity
Decision: Poster
Title: Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
Authors: Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei Efros, Mathieu Aubry
Affiliations: LIGM, Ecole des Ponts, Univ Gustave Eiffel; UC Berkeley
Conference: nips 2023 (main track)
Keywords: 3D decomposition;3D reconstruction;MVS;primitives;qualitative 3D
Decision: Poster
Title: RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Authors: Siqi Shen, Chennan Ma, Chao Li, Weiquan Liu, Yongquan Fu, Songzhu Mei, Xinwang Liu, Cheng Wang
Affiliations: Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University (XMU), China; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, XMU, China; School of Computer, National University of Defense Technology, China
Conference: nips 2023 (main track)
Keywords: multi-agent reinforcement learning;value factorization;individual global max;risk-sensitive
Decision: Poster
Title: Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach
Authors: Fabian Zaiser, Andrzej Murawski, Chih-Hao Luke Ong
Affiliations: Department of Computer Science, University of Oxford, UK; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Bayesian statistics;probabliistic programming;exact inference;discrete models;probability generating functions
Decision: Oral
Title: Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
Authors: Joseph Costello, Hisham Temmar, Luis Cubillos, Matthew Mender, Dylan Wallace, Matt Willsey, Parag Patil, Cynthia Chestek
Affiliations: Departments of Electrical and Computer Engineering, Biomedical Engineering, Robotics, and Neurosurgery, University of Michigan, Ann Arbor, MI, USA
Conference: nips 2023 (main track)
Keywords: brain computer interface;brain machine interface;neural decoding;prosthetic control;recurrent neural network;RNN;transformer;real time;closed-loop;user interface
Decision: Spotlight
Title: On Differentially Private Sampling from Gaussian and Product Distributions
Authors: Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi
Affiliations: Google Research, Bangkok, Thailand; University of Waterloo, Waterloo, Canada; Google Research, Mountain View, CA, US
Conference: nips 2023 (main track)
Keywords: privacy;sampling;Gaussian distribution;product distributions
Decision: Poster
Title: Neural Image Compression: Generalization, Robustness, and Spectral Biases
Authors: Kelsey Lieberman, James Diffenderfer, Charles Godfrey, Bhavya Kailkhura
Affiliations: Department of Computer Science, Duke University, Durham, NC USA; Thomson Reuters Labs, Eagan, MN USA; Lawrence Livermore National Laboratory, Livermore, CA USA
Conference: nips 2023 (main track)
Keywords: image compression;robustness;generalization
Decision: Poster
Title: A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
Authors: Minkyu Choi, Kuan Han, Xiaokai Wang, Yizhen Zhang, Zhongming Liu
Affiliations: Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109
Conference: nips 2023 (main track)
Keywords: brain-inspired AI;retina transformation;eye movements;deep neural networks
Decision: Poster
Title: Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
Authors: Shangshang Yang, Xiaoshan Yu, Ye Tian, Xueming Yan, Haiping Ma, Xingyi Zhang
Affiliations: Anhui University, Department of Information Materials and Intelligent Sensing Laboratory of Anhui Province; Anhui University; Guangdong University of Foreign Studies
Conference: nips 2023 (main track)
Keywords: Knowledge tracing;intelligent education;neural architecture search;Transformer
Decision: Poster
Title: Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data
Authors: Yiwen Kou, Zixiang Chen, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2023 (main track)
Keywords: ReLU Neural Networks;Implicit Bias;Deep Learning Theory
Decision: Poster
Title: Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Authors: Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy
Affiliations: Stability AI; Tel Aviv University
Conference: nips 2023 (main track)
Keywords: text-to-image;human-preferences;dataset
Decision: Poster
Title: CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
Authors: Anders Nørskov, Alexander Neergaard Zahid, Morten Mørup
Affiliations: Department of Applied Mathematics and Computer Science, Technical University of Denmark
Conference: nips 2023 (main track)
Keywords: zero-shot conversion;representations learning;contrastive learning;electroencephalography;autoencoder;subject variability;permutation invariant training
Decision: Poster
Title: On the Pareto Front of Multilingual Neural Machine Translation
Authors: Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Microsoft Research
Conference: nips 2023 (main track)
Keywords: Multilinugal Neural Machine Translation;Multitask Learning;Pareto Optimization
Decision: Poster
Title: Guide Your Agent with Adaptive Multimodal Rewards
Authors: Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Affiliations: University of Michigan; Dyson Robot Learning Lab; KAIST; Google DeepMind; UC Berkeley
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Multimodal Representation;Imitation Learning
Decision: Poster
Title: KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training
Authors: Truong Thao Nguyen, Balazs Gerofi, Edgar Josafat Martinez-Noriega, François Trahay, Mohamed Wahib
Affiliations: National Institute of Advanced Industrial Science and Technology (AIST), Japan; Intel Corporation, USA; RIKEN Center for Computational Science, Japan; Télécom SudParis, Institut Polytechnique de Paris, France
Conference: nips 2023 (main track)
Keywords: Deep learning;Sampling
Decision: Poster
Title: Facing Off World Model Backbones: RNNs, Transformers, and S4
Authors: Fei Deng, Junyeong Park, Sungjin Ahn
Affiliations: KAIST; Rutgers University
Conference: nips 2023 (main track)
Keywords: world models;structured state space sequence models;S4;long-term memory;model-based reinforcement learning
Decision: Poster
Title: $L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting
Authors: Xiaotong Yuan, Ping Li
Affiliations: VecML Inc. www.vecml.com, Bellevue, WA 98004, USA; School of Intelligence Science and Technology, Nanjing University, Suzhou, 215163, China
Conference: nips 2023 (main track)
Keywords: Uniform stability;Randomized learning algorithms;Confidence boosting;Generalization bounds;Stochastic gradient methods
Decision: Poster
Title: Transition-constant Normalization for Image Enhancement
Authors: Jie Huang, man zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao
Affiliations: University of Science and Technology of China, China; Nankai University, China
Conference: nips 2023 (main track)
Keywords: Image Enhancement;Normalization;Image Restoration
Decision: Spotlight
Title: iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
Authors: Tianyu Chen, Kevin Bello, Bryon Aragam, Pradeep Ravikumar
Affiliations: Booth School of Business, University of Chicago; Department of Statistics and Data Science, University of Texas at Austin; Machine Learning Department, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: distribution shifts;heterogeneous data;feature-shift;structural causal models;additive noise models;causality;root-cause analysis
Decision: Poster
Title: GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
Authors: Mingjian Zhu, Hanting Chen, Qiangyu YAN, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: AI Generated Image Detector; Generative Model
Decision: Poster
Title: CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
Authors: Fatih Dinc, Adam Shai, Mark Schnitzer, Hidenori Tanaka
Affiliations: Department of Applied Physics, Stanford University, Stanford, CA 94305; Howard Hughes Medical Institute, CNC Program, Stanford University, Stanford, CA 94305; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA 94085, Center for Brain Science, Harvard University, Cambridge, MA 02138; CNC Program, Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: brain-machine interfaces;recurrent neural networks;convex optimization;computational neuroscience
Decision: Poster
Title: Domain Adaptive Imitation Learning with Visual Observation
Authors: Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung
Affiliations: LG AI Research; KAIST; Carnegie Mellon University; UNIST
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Deep Reinforcement Learning;Imitation Learning
Decision: Poster
Title: High dimensional, tabular deep learning with an auxiliary knowledge graph
Authors: Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
Affiliations: Department of Computer Science, Stanford University; Department of Bioengineering, Stanford University; Department of Computer Science, Stanford University
Conference: nips 2023 (main track)
Keywords: Tabular Data;Deep Learning;Knowledge Graph;Regularization
Decision: Poster
Title: Machine learning detects terminal singularities
Authors: Tom Coates, Alexander Kasprzyk, Sara Veneziale
Affiliations: Department of Mathematics, Imperial College London, 180 Queen’s Gate, London, SW7 2AZ, UK; School of Mathematical Sciences, University of Nottingham, Nottingham, NG7 2RD, UK
Conference: nips 2023 (main track)
Keywords: mathematics;geometry;Fano varieties;terminal singularities;theorem discovery;neural network classifier;supervised learning
Decision: Poster
Title: Two-Stage Learning to Defer with Multiple Experts
Authors: Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
Affiliations: Courant Institute, New York, NY 10012; Google Research & CIMS, New York, NY 10011; Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: learning to defer;learning theory
Decision: Poster
Title: Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Authors: Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
Affiliations: Istituto Italiano di Tecnologia; Istituto Italiano di Tecnologia, University of Novi Sad; Università di Genova; Istituto Italiano di Tecnologia, University College London; Università di Genova, Istituto Italiano di Tecnologia, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: dynamical systems;kernel methods;koopman operator;sketching;molecular dynamics;efficient machine learning
Decision: Poster
Title: Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions
Authors: Lukas Gosch, Simon Geisler, Daniel Sturm, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Affiliations: Department of Computer Science & Munich Data Science Institute, Technical University of Munich; Department of Computer Science & Munich Data Science Institute, Technical University of Munich; Microsoft Research
Conference: nips 2023 (main track)
Keywords: adversarial training;adversarial examples;robust graph learning;graph machine learning;graph neural networks;graphs
Decision: Poster
Title: 4D Panoptic Scene Graph Generation
Authors: Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong, Xiangtai Li, Kaiyang Zhou, Qifeng Chen, Ziwei Liu
Affiliations: Hong Kong Baptist University; The Hong Kong University of Science and Technology; S-Lab, Nanyang Technological University; Beijing University of Posts and Telecommunications
Conference: nips 2023 (main track)
Keywords: Scene Graph Generation;4D Understanding;4D Perception.
Decision: Spotlight
Title: LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Authors: Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
Affiliations: Microsoft
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Multimodal assistant;biomedical multimodal  instruction-following data
Decision: Spotlight
Title: Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees
Authors: Wenqi Cui, Yan Jiang, Baosen Zhang, Yuanyuan Shi
Affiliations: University of Washington, WA 98195; University of California San Diego, CA 92093
Conference: nips 2023 (main track)
Keywords: Control;Stability;Tracking;Passivity;Neural network-based controllers;Power systems
Decision: Poster
Title: FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
Authors: Mingyuan Zhang, Huirong Li, Zhongang Cai, Jiawei Ren, Lei Yang, Ziwei Liu
Affiliations: S-Lab, Nanyang Technological University; SenseTime Research
Conference: nips 2023 (main track)
Keywords: Motion Generation;Diffusion Model
Decision: Poster
Title: Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Authors: Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine
Affiliations: Stanford University; UC Berkeley
Conference: nips 2023 (main track)
Keywords: offline reinforcement learning;online fine-tuning
Decision: Poster
Title: May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations
Authors: Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang
Affiliations: Materials Science and Engineering, Georgia Institute of Technology; Computer Science Department, University of Illinois, Urbana-Champaign; Computational Science and Engineering, Georgia Institute of Technology
Conference: nips 2023 (main track)
Keywords: molecular pretraining;molecular representation learning
Decision: Poster
Title: Human-Aligned Calibration for AI-Assisted Decision Making
Authors: Nina Corvelo Benz, Manuel Rodriguez
Affiliations: Max Planck Institute for Software Systems, ETH Zürich; Max Planck Institute for Software Systems
Conference: nips 2023 (main track)
Keywords: Calibration;Trustworthy Machine Learning;Human-Centric ML;Probabilistic Models and Methods
Decision: Poster
Title: Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Authors: Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
Affiliations: Department of Computer Science, University of Texas at Austin; Electrical Engineering and Computer Science, University of California, Berkeley; Department of ECE, University of Texas at Austin; Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: diffusion models;sampling drift;Fokker-Planck;invariances;Stochastic Differential Equations;Martingales
Decision: Poster
Title: CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
Authors: Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL 61801; Department of Computer Science, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL 61801
Conference: nips 2023 (main track)
Keywords: drug discovery;molecule property prediction;conformal prediction
Decision: Poster
Title: PreDiff: Precipitation Nowcasting with Latent Diffusion Models
Authors: Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, Yuyang (Bernie) Wang
Affiliations: AWS AI Labs; Boson AI; AWS; Hong Kong University of Science and Technology; Amazon
Conference: nips 2023 (main track)
Keywords: Machine Learning for Earth Science;Spatiotemporal Forecasting;Generative Models;Diffusion Models
Decision: Poster
Title: Combining Behaviors with the Successor Features Keyboard
Authors: Wilka Carvalho Carvalho, Andre Saraiva, Angelos Filos, Andrew Lampinen, Loic Matthey, Richard L Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
Affiliations: Harvard University; Google DeepMind and University of Michigan; Google DeepMind; University of Michigan
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;successor features;transfer;generalization;feature-discovery
Decision: Poster
Title: Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
Authors: Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
Affiliations: Machine Learning Research Group, University of Oxford; Oxford-Man Institute, University of Oxford; Mathematical Institute, University of Oxford; Oxford Robotics Institute, University of Oxford
Conference: nips 2023 (main track)
Keywords: Representation Learning;Product Manifolds;Bayesian Optimization;Gromov-Hausdorff Distance
Decision: Poster
Title: Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Authors: Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Affiliations: ETH Zürich; Università degli Studi di Milano; Università degli Studi di Milano, Politecnico di Milano
Conference: nips 2023 (main track)
Keywords: multitask learning;confidence intervals;online learning theory;active learning;regret
Decision: Poster
Title: DICES Dataset: Diversity in Conversational AI Evaluation for Safety
Authors: Lora Aroyo, Alex Taylor, Mark Díaz, Christopher Homan, Alicia Parrish, Gregory Serapio-García, Vinodkumar Prabhakaran, Ding Wang
Affiliations: City, University of London; University of Cambridge; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: conversational AI;human evaluation;human annotation;safety task;disagreement;variance in human annotations;diversity of rater pool
Decision: Poster
Title: Exploiting Contextual Objects and Relations for 3D Visual Grounding
Authors: Li Yang, chunfeng yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu
Affiliations: Zhejiang Linkheer Science And Technology Co., Ltd.; School of Artificial Intelligence, University of Chinese Academy of Sciences; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; Alibaba Group; Education Management Information Center, Ministry of Education; ARC Lab, Tencent PCG; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: 3D Visual Grounding;Contextual Object;Contextual Relation
Decision: Poster
Title: Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
Authors: Zhaohan Xi, Tianyu Du, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
Affiliations: Stony Brook University; Zhejiang University; Pennsylvania State University
Conference: nips 2023 (main track)
Keywords: few-shot learning;prompt learning;language model;backdoor defense
Decision: Poster
Title: $\varepsilon$-fractional core stability in Hedonic Games.
Authors: Simone Fioravanti, Michele Flammini, Bojana Kodric, Giovanna Varricchio
Affiliations: University of Calabria, Rende, Italy; Ca’ Foscari University of Venice, Venice, Italy; Gran Sasso Science Institute (GSSI), L’Aquila, Italy; Goethe-Universität, Frankfurt am Main, Germany
Conference: nips 2023 (main track)
Keywords: Game Theory;Hedonic Games;Core stability;Coalition Formation;Social Choice;PAC learning
Decision: Poster
Title: Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
Authors: Sungbin Lim, EUN BI YOON, Taehyun Byun, Taewon Kang, Seungwoo Kim, Kyungjae Lee, Sungjoon Choi
Affiliations: Department of Computer Science and Engineering, Korea University; Department of Statistics, Korea University; LG AI Research; SNU-LG AI Research Center; Department of Artiﬁcial Intelligence, Chung-Ang University; Department of Artiﬁcial Intelligence, Korea University; Artiﬁcial Intelligence Graduate School, UNIST; Department of Statistics, Korea University; Artiﬁcial Intelligence Graduate School, UNIST
Conference: nips 2023 (main track)
Keywords: Generative Model;Score-based Method;Diffusion Model
Decision: Spotlight
Title: STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection
Authors: Sujin Jang, Dae Ung Jo, Sung Ju Hwang, Dongwook Lee, Daehyun Ji
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Samsung Advanced Institute of Technology (SAIT)
Conference: nips 2023 (main track)
Keywords: knowledge distillation;cross-modal learning;3d object detection
Decision: Poster
Title: REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
Authors: Suman Bhoi, Mong Li Lee, Wynne Hsu, Ngiap Chuan Tan
Affiliations: National University of Singapore; SingHealth Polyclinics
Conference: nips 2023 (main track)
Keywords: Fine-grained Medication recommendation;Drug Interaction Severity
Decision: Poster
Title: Joint Data-Task Generation for Auxiliary Learning
Authors: Hong Chen, Xin Wang, Yuwei Zhou, Yijian Qin, Chaoyu Guan, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Computer Science and Technology, Tsinghua University; Beijing National Research Center for Information Science and Technology, Tsinghua
Conference: nips 2023 (main track)
Keywords: auxiliary learning;data-task joint generation
Decision: Poster
Title: Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model
Authors: Amine Ouasfi, Adnane Boukhayma
Affiliations: Inria, Univ. Rennes, CNRS, IRISA, M2S, France
Conference: nips 2023 (main track)
Keywords: implicit neural representations;3D reconstruction from unoriented point could;kernel ridge regression
Decision: Poster