hunoutl/paperlists huggingface dataset:
Title: Unified Segment-to-Segment Framework for Simultaneous Sequence Generation
Authors: Shaolei Zhang, Yang Feng
Affiliations: 1Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) 2University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Machine Translation;Speech Translation;Speech Recognition;Simultaneous Generation;Simultaneous Translation
Decision: Poster
Title: Functional Renyi Differential Privacy for Generative Modeling
Authors: Dihong Jiang, Sun Sun, Yaoliang Yu
Affiliations: School of Computer Science, University of Waterloo; Vector Institute; School of Computer Science, University of Waterloo; National Research Council Canada
Conference: nips 2023 (main track)
Keywords: Renyi differential privacy;RKHS;MMD;Gaussian process;generative model
Decision: Poster
Title: Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
Authors: Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber
Affiliations: Department of Mathematics, London School of Economics and Political Science, London, United Kingdom; Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany; Department of Computer Science, ETH Zurich, Zurich, Switzerland; Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands
Conference: nips 2023 (main track)
Keywords: Neural Network Training;Computational Complexity;Existential Theory of the Reals;Algebraic Universality;Empirical Risk Minimization
Decision: Poster
Title: Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters
Authors: Maxence Noble, Valentin De Bortoli, Arnaud Doucet, Alain Durmus
Affiliations: Computer Science Department, ENS, CNRS, PSL University; CMAP, CNRS, École polytechnique, Institut Polytechnique de Paris, 91120 Palaiseau, France; Department of Statistics, University of Oxford, UK
Conference: nips 2023 (main track)
Keywords: Schrödinger bridge;optimal transport;diffusion model;Wasserstein barycenter
Decision: Spotlight
Title: Grassmann Manifold Flows for Stable Shape Generation
Authors: Ryoma Yataka, Kazuki Hirashima, Masashi Shiraishi
Affiliations: Information Technology R&D Center (ITC), Mitsubishi Electric Corporation, Kamakura, Kanagawa, 247-8501, Japan
Conference: nips 2023 (main track)
Keywords: Generative Models;Geometric Deep Learning;Normalizing Flows;Shape Analysis;Grassmann Manifold
Decision: Poster
Title: Failure-Aware Gaussian Process Optimization with Regret Bounds
Authors: Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie
Affiliations: RIKEN AIP, Tokyo, Japan; MI-6 Ltd., Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: Gaussian process optimization;regret analysis;black-box optimization;Bayesian optimization
Decision: Poster
Title: Training Transformers with 4-bit Integers
Authors: Haocheng Xi, ChangHao Li, Jianfei Chen, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: nips 2023 (main track)
Keywords: neural network quantization;transformer;matrix multiplication;randomized numerical linear algebra
Decision: Poster
Title: On quantum backpropagation, information reuse, and cheating measurement collapse
Authors: Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod McClean
Affiliations: Department of Computing and Mathematical Sciences, Caltech, Pasadena, CA 91125, USA; Google Quantum AI, Venice, California 90291, USA; Google Quantum AI, Venice, California 90291, USA; jmcclean@google.com; Google Quantum AI, Venice, California 90291, USA; University of KwaZulu-Natal, South Africa; QuSoft, University of Amsterdam, Science Park 123, 1098 XG Amsterdam, The Netherlands; Department of Computing and Mathematical Sciences, Caltech, Pasadena, CA 91125, USA; Institute for Quantum Information and Matter, Caltech, Pasadena, CA 91125, USA
Conference: nips 2023 (main track)
Keywords: Backpropagation;quantum computing;shadow tomography;gentle measurement
Decision: Spotlight
Title: ResMem: Learn what you can and memorize the rest
Authors: Zitong Yang, MICHAL LUKASIK, Vaishnavh Nagarajan, Zonglin Li, Ankit Rawat, Manzil Zaheer, Aditya Menon, Sanjiv Kumar
Affiliations: Google Research, New York, NY, 10011; Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: deep learning;generalization;memorization;deep learning theory;boosting;nearest neighbor
Decision: Poster
Title: Aligning Language Models with Human Preferences via a Bayesian Approach
Authors: Jiashuo WANG, Haozhao Wang, Shichao Sun, Wenjie Li
Affiliations: School of Computer Science and Technology, Huazhong University of Science and Technology; Department of Computing, The Hong Kong Polytechnic University
Conference: nips 2023 (main track)
Keywords: Aligned Models; Human-centric NLG
Decision: Poster
Title: Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Authors: Shashanka Venkataramanan, Ewa Kijak, laurent amsaleg, Yannis Avrithis
Affiliations: Inria, Univ Rennes, CNRS, IRISA; Institute of Advanced Research on Artiﬁcial Intelligence (IARAI)
Conference: nips 2023 (main track)
Keywords: Interpolation based data augmentation;mixup;dense interpolation;robustness;representation learning
Decision: Poster
Title: Unifying GANs and Score-Based Diffusion as Generative Particle Models
Authors: Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickael Chen, Alain Rakotomamonjy
Affiliations: Criteo AI Lab, Paris, France; LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, Marne-la-Vallée, France; Valeo.ai, Paris, France; Seminar for Applied Mathematics, D-MATH, ETH Zürich, Rämistrasse 101, Zürich-8092, Switzerland; Criteo AI Lab, Paris, France
Conference: nips 2023 (main track)
Keywords: deep learning;generative models;GANs;generative adversarial networks;diffusion;score-based;gradient flows
Decision: Poster
Title: A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm
Authors: Qi Wang, Yiqin Lv, yanghe feng, Zheng Xie, Jincai Huang
Affiliations: College of Systems Engineering, National University of Defense Technology; College of Science, National University of Defense Technology
Conference: nips 2023 (main track)
Keywords: meta learning;robust fast adaptation;model agnostic meta learning
Decision: Poster
Title: A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Authors: Guillaume Huguet, Alexander Tong, Edward De Brouwer, Yanlei Zhang, Guy Wolf, Ian Adelstein, Smita Krishnaswamy
Affiliations: Université de Montréal; Mila - Quebec AI Institute; Yale University
Conference: nips 2023 (main track)
Keywords: manifold learning;heat diffusion;geodesic;metric preserving;dimensionality reduction;embedding
Decision: Poster
Title: Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization
Authors: Zhenbo Song, ze xianghui, Jianfeng Lu, Yujiao Shi
Affiliations: Nanjing University of Science and Technology; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Optical flow;correspondence learning;cross-view;camera localization
Decision: Poster
Title: Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Authors: Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, Chelsea Finn
Affiliations: Stanford University; Stanford University, CZ Biohub
Conference: nips 2023 (main track)
Keywords: reinforcement learning from human feedback;language models;RLHF;preferences
Decision: Oral
Title: Guiding The Last Layer in Federated Learning with Pre-Trained Models
Authors: Gwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky
Affiliations: Concordia University, Mila, Montreal, Canada; Sorbonne University, ISIR, CNRS, Paris, France; McGill University, Mila, Montreal, Canada
Conference: nips 2023 (main track)
Keywords: federated learning; transfer learning; nearest mean classifier; continual learning;
Decision: Poster
Title: Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
Authors: Gellert Weisz, András György, Csaba Szepesvari
Affiliations: Google DeepMind, London, UK; University College London, London, UK; Google DeepMind, London, UK; Google DeepMind, Montreal, Canada; University of Alberta, Edmonton, Canada
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;linear function approximation;online learning
Decision: Oral
Title: On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration
Authors: Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
Affiliations: New Jersey Institute of Technology; Michigan State University; Rensselaer Polytechnic Institute; IBM Research
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Deep Q Network;Convergence analysis;Sample complexity;Generalization analysis
Decision: Poster
Title: Video Prediction Models as Rewards for Reinforcement Learning
Authors: Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel
Affiliations: University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;generative modeling;learning from demonstrations;video prediction;unsupervised reinforcement learning
Decision: Poster
Title: Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Authors: Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adria Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, joseph heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, Joao Carreira
Affiliations: University of Bristol; DeepMind; University of Oxford, DeepMind
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: evaluation;multimodal video models;perception;reasoning;diagnostic;memory;abstraction;physics;semantics
Decision: Poster
Title: SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization
Authors: Jheng-Wei Su, Kuei-Yu Tung, Chi-Han Peng, Peter Wonka, Hung-Kuo (James) Chu
Affiliations: National Tsing Hua University; National Yang Ming Chiao Tung University; King Abdullah University of Science and Technology
Conference: nips 2023 (main track)
Keywords: deep learning;layout reconstruction
Decision: Poster
Title: ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets
Authors: Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad
Affiliations: Hong Kong Uni. of Science and Technology; University of Adelaide, Australia; University of Tübingen, Germany; Idiap Research Institute, Switzerland
Conference: nips 2023 (main track)
Keywords: Generalisation; machine learning
Decision: Spotlight
Title: RealTime QA: What's the Answer Right Now?
Authors: Jungo Kasai, Keisuke Sakaguchi, yoichi takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah Smith, Yejin Choi, Kentaro Inui
Affiliations: Tohoku University; University of Washington; Yale University; Toyota Technological Institute at Chicago; University of Southern California; MBZUAI; Allen Institute for AI; RIKEN
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: question answering;time sensitivity;information retrieval;large language models
Decision: Poster
Title: Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
Authors: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, LEI ZHU, Michael Lingzhi Li
Affiliations: Harvard Business School; Alibaba Group; Harvard University; Peking University; Yale University; Second Affiliated Hospital of Zhejiang University School of Medicine; Hong Kong University of Science and Technology (Guangzhou); Tianyi Traffic Technology; Ant Group; Johns Hopkins University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: large language model;chinese medical licensing exam;multi-choice;question answering
Decision: Poster
Title: Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective
Authors: Jimmy Ba, Murat Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu
Affiliations: University of Toronto, Vector Institute; University of Toronto, Vector Institute, xAI; University of Tokyo, RIKEN AIP; New York University, Flatiron Institute; University of California San Diego
Conference: nips 2023 (main track)
Keywords: random matrix theory;high-dimensional statistics;neural network;kernel method;feature learning
Decision: Poster
Title: DVSOD: RGB-D Video Salient Object Detection
Authors: Jingjing Li, Wei Ji, Size Wang, Wenbo Li, Li cheng
Affiliations: University of Alberta, Canada; Samsung Research America AI Center, USA; Samsung Research America AI Center, USA; University of Alberta, Canada
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Salient Object Detection;RGB-D Video Object Detection;Benchmark Dataset
Decision: Poster
Title: Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift
Authors: YUAN JIANG, Zhiguang Cao, Yaoxin Wu, Wen Song, Jie Zhang
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; School of Computing and Information Systems, Singapore Management University; Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology; Marine Science and Technology, Shandong University
Conference: nips 2023 (main track)
Keywords: Vehicle Routing Problem;Distribution shift;Deep Reinforcement Learning;Ensemble Learning
Decision: Poster
Title: Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Authors: Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker, Thomas Brox, Frank Hutter
Affiliations: University of Oxford; University of Freiburg
Conference: nips 2023 (main track)
Keywords: Neural Architecture Search;Hierarchical Search Space;Context-free Grammars;Bayesian Optimization
Decision: Poster
Title: Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment
Authors: Tianhe Wu, Shuwei Shi, Haoming Cai, Mingdeng Cao, Jing Xiao, Yinqiang Zheng, Yujiu Yang
Affiliations: University of Maryland, College Park; Shenzhen International Graduate School, Tsinghua University; The University of Tokyo; Pingan Group
Conference: nips 2023 (main track)
Keywords: Blind omnidirectional image quality assessment;Multi-sequence network;Viewport sequence
Decision: Poster
Title: Causal Component Analysis
Authors: Liang Wendong, Armin Kekić, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany; ENS Paris-Saclay, Gif-sur-Yvette, France; Max Planck Institute for Intelligent Systems, Tübingen, Germany; University of Cambridge, United Kingdom
Conference: nips 2023 (main track)
Keywords: Causality;independent component analysis;causal inference;interventions;latent variable models;identifiability
Decision: Poster
Title: Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
Authors: Luke Taylor, Andrew King, Nicol S Harper
Affiliations: Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
Conference: nips 2023 (main track)
Keywords: spiking neural network;surrogate gradient descent;adaptive leaky integrate and fire neuron;speed-accuracy trade-off;electrophysiological recordings
Decision: Poster
Title: Understanding and Mitigating Copying in Diffusion Models
Authors: Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: University of Maryland, College Park; New York University
Conference: nips 2023 (main track)
Keywords: diffusion models;memorization;data replication;model safety
Decision: Poster
Title: Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Authors: Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
Affiliations: University of California, Los Angeles; Microsoft Research, Redmond
Conference: nips 2023 (main track)
Keywords: large language models;compositional reasoning;tool use;multi-modal reasoning;mathematical reasoning
Decision: Poster
Title: Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition
Authors: Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng
Affiliations: School of Future Technology, University of Chinese Academy of Sciences; Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences; Center for Long-term Artificial Intelligence; School of Future Technology, University of Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences; Center for Long-term Artificial Intelligence; School of Artificial Intelligence, University of Chinese Academy of Sciences; Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences; Center for Long-term Artificial Intelligence; Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences; Center for Long-term Artificial Intelligence
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: violence detection;privacy protection;event-based dataset;Dynamic Vision Sensors (DVS);bullying
Decision: Poster
Title: Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs
Authors: Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: integrated circuit design;FPGAs;hardware design automation;hardware design optimization;representation learning;source code;assembly code;multi-modality;graph neural network;transformer;pretraining;high level synthesis;benchmark
Decision: Poster
Title: Synthetic-to-Real Pose Estimation with Geometric Reconstruction
Authors: Qiuxia Lin, Kerui Gu, Linlin Yang, Angela Yao
Affiliations: Department of Computer Science, National University of Singapore; State Key Laboratory of Media Convergence and Communication, CUC; School of Information and Communication Engineering, CUC
Conference: nips 2023 (main track)
Keywords: pose estimation;domain adaptation
Decision: Poster
Title: Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
Authors: Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun
Affiliations: MIT; Morgan Stanley; LSE; Cornell University; UIUC; Genentech
Conference: nips 2023 (main track)
Keywords: Reinforcement learning theory;POMDP;PAC RL;Off-policy evaluation;Offilne reinforcement learning
Decision: Spotlight
Title: GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
Authors: Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah
Affiliations: Center for Research in Computer Vision, University of Central Florida, USA
Conference: nips 2023 (main track)
Keywords: Geo-localization;Image-to-GPS retrieval;CLIP;Random Fourier Features
Decision: Poster
Title: Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations
Authors: Hannaneh Akrami, Kurt Mehlhorn, Masoud Seddighin, Golnoosh Shahkarami
Affiliations: Max Planck Institute for Informatics, Graduiertenschule Informatik, Universität des Saarlandes; Tehran Institute for Advanced Studies; Max Planck Institute for Informatics, Universität des Saarlandes
Conference: nips 2023 (main track)
Keywords: Algorithmic game theory;Fairness;Randomized;Allocation;Maximin-share;Fractionally Subadditive
Decision: Poster
Title: Provably Bounding Neural Network Preimages
Authors: Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
Affiliations: Carnegie Mellon, Bosch Center for AI; RWTH Aachen; Carnegie Mellon; Google DeepMind; UIUC
Conference: nips 2023 (main track)
Keywords: Trustworthy ML;Formal Verification;Safe Control;OOD Detection
Decision: Spotlight
Title: On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds
Authors: David P. Woodruff , CMU , dwoodruf@cs.cmu.edu "3026 Fred Zhang , UC Berkeley , z0@berkeley.edu "3026 Samson Zhou , Texas A&M University , samsonzhou@gmail.com 
Affiliations: Texas A&M University; CMU; UC Berkeley
Conference: nips 2023 (main track)
Keywords: online learning;memory efficiency;sub-linear algorithm;communication lower bound
Decision: Poster
Title: Deductive Verification of Chain-of-Thought Reasoning
Authors: Zhan Ling, Yunhao Fang, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Affiliations: Qualcomm AI Research; UC San Diego
Conference: nips 2023 (main track)
Keywords: Chain-of-thought;Large language model;Reasoning
Decision: Poster
Title: Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Authors: Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi
Affiliations: UNC Chapel Hill; Google DeepMind; Google Research
Conference: nips 2023 (main track)
Keywords: Concept Erasure;Representation Learning;Rate distortion;Fairness;Debiasing
Decision: Poster
Title: State Regularized Policy Optimization on Data with Dynamics Shift
Authors: Zhenghai Xue, Qingpeng Cai, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
Affiliations: Unaffliated; Kuaishou Technology; Nanyang Technology University, Singapore
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Dynamics Shift;Stationary State Distribution;Offline RL;Off-Policy RL
Decision: Poster
Title: Evaluating and Inducing Personality in Pre-trained Language Models
Authors: Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu
Affiliations: Institute for Artificial Intelligence, Peking University; Yuanpei College, Peking University; Beijing Jiaotong University; Institute for Artificial Intelligence, Peking University; Institute for Artificial Intelligence, Peking University; National Key Laboratory of General Artificial Intelligence, BIGAI; National Key Laboratory of General Artificial Intelligence, BIGAI
Conference: nips 2023 (main track)
Keywords: machine personality;machine behavior;personality trait theory;psychometric;large language models;prompt
Decision: Spotlight
Title: Estimating Causal Effects Identifiable from a Combination of Observations and Experiments
Authors: Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim
Affiliations: New York University; Purdue University; Columbia University; Iowa State University
Conference: nips 2023 (main track)
Keywords: Causal Effect Estimation;Causal Effect Identification;Data Fusion;Double Machine Learning;Doubly Robust Estimator
Decision: Poster
Title: SHAP-IQ: Unified Approximation of any-order Shapley Interactions
Authors: Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
Affiliations: Bielefeld University, CITEC, D-33619, Bielefeld, Germany; Paderborn University, D-33098, Paderborn, Germany; LMU Munich, MCML Munich, D-80539, Munich, Germany
Conference: nips 2023 (main track)
Keywords: Explainable Artificial Intelligence;Feature Interaction;Shapley Interaction;Shapley Value
Decision: Poster