hunoutl/paperlists huggingface dataset:
Title: Differentiable Random Partition Models
Authors: Thomas Sutter, Alain Ryser, Joram Liebeskind, Julia Vogt
Affiliations: Department of Computer Science, ETH Zurich
Conference: nips 2023 (main track)
Keywords: random partition model;continuous relaxation;reparameterization;generative models;vae;representation learning;weak supervision;variational clustering;deep learning
Decision: Poster
Title: A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications
Authors: Yanbo Chen, Weiwei Liu
Affiliations: School of Computer Science, Wuhan University; National Engineering Research Center for Multimedia Software, Wuhan University; Institute of Artificial Intelligence, Wuhan University; Hubei Key Laboratory of Multimedia and Network Communication Engineering, Wuhan University
Conference: nips 2023 (main track)
Keywords: Learning Theory
Decision: Poster
Title: Norm-based Generalization Bounds for Sparse Neural Networks
Authors: Tomer Galanti, Mengjia Xu, Liane Galanti, Tomaso Poggio
Affiliations: Department of Data Science, New Jersey Institute of Technology; School of Computer Science, Tel Aviv University; Center for Brains, Mind, and Machines, Massachusetts Institute of Technology
Conference: nips 2023 (main track)
Keywords: generalization bounds;convolution;rademacher;generalization;sparsity
Decision: Poster
Title: Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation
Authors: Palak Jain, Iden Kalemaj, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
Affiliations: Boston University
Conference: nips 2023 (main track)
Keywords: distinct elements;differential privacy;continual release;turnstile streams
Decision: Poster
Title: MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery
Authors: Sanja Scepanovic, Ivica Obadic, Sagar Joglekar, Laura GIUSTARINI, Cristiano Nattero, Daniele Quercia, Xiaoxiang Zhu
Affiliations: Technical University of Munich; Munich Center for Machine Learning∗; WASDI; Nokia Bell Labs; Intercom‡; Nokia Bell Labs; Technical University of Munich†; Nokia Bell Labs; Centre for Urban Science and Progress, King’s College London; Technical University of Munich; Munich Center for Machine Learning
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: public health; population health; medical prescriptions; satellite imagery; satellite data; SDGs
Decision: Poster
Title: Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Authors: Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah Smith, Mari Ostendorf, Hannaneh Hajishirzi
Affiliations: University of Washington; MosaicML; University of California, Berkeley; Allen Institute for Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: Language Model;Reinforcement Learning with Human Feedback;Long-Form Text Generation
Decision: Spotlight
Title: SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
Authors: Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander Hauptmann, Lu Jiang, Lu Jiang
Affiliations: Google; Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: multimodal;generation;large language model
Decision: Spotlight
Title: PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems
Authors: Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim Sabra, Justin Romberg
Affiliations: Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332; Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332
Conference: nips 2023 (main track)
Keywords: Inverse Problems;Neural Adjoint;Hybrid Machine Learning;Physics
Decision: Poster
Title: DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
Authors: XiMing Xing, Chuang Wang, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, Dong Xu
Affiliations: The University of Hong Kong; Beihang University
Conference: nips 2023 (main track)
Keywords: Sketch; Vector Sketch; Sketch Generation; Diffusion Models
Decision: Poster
Title: MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
Authors: Fabien Casenave, Brian Staber, Xavier Roynard
Affiliations: Safran Tech, Digital Sciences & Technologies, 78114 Magny-Les-Hameaux, France
Conference: nips 2023 (main track)
Keywords: Gaussian process;mesh morphing;mesh parametrization;finite element interpolation;simulation;physics;predictive uncertainties;nonparametrized geometries
Decision: Poster
Title: In-Context Impersonation Reveals Large Language Models' Strengths and Biases
Authors: Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
Affiliations: University of Tübingen, Tübingen AI Center; Max Planck Institute for Biological Cybernetics, Tübingen AI Center; University of Porto, INESC TEC
Conference: nips 2023 (main track)
Keywords: large language models;impersonation;vision language models;reasoning
Decision: Spotlight
Title: Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Authors: Cian Eastwood, Shashank Singh, Andrei L Nicolicioiu, Marin Vlastelica Pogančić, Julius von Kügelgen, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen; Max Planck Institute for Intelligent Systems, Tübingen; University of Cambridge; Max Planck Institute for Intelligent Systems, Tübingen; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: invariant prediction;spurious correlations;out-of-distribution generalization;domain generalization;domain adaptation;test-time domain adaptation
Decision: Poster
Title: Smooth, exact rotational symmetrization for deep learning on point clouds
Authors: Sergey Pozdnyakov, Michele Ceriotti
Affiliations: Laboratory of Computational Science and Modelling, Institute of Materials, Ecole Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland
Conference: nips 2023 (main track)
Keywords: geometric deep learning;point clouds;equivariance;machine learning potentials;GNN;transformer;atomic-scale modeling
Decision: Poster
Title: ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
Authors: Mohammad Reza Taesiri, Giang Nguyen, Sarra Habchi, Cor-Paul Bezemer, Anh Nguyen
Affiliations: Auburn University; University of Alberta; Ubisoft
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: imagenet-hard;rare;zoom;spatial bias;image classification;new benchmark
Decision: Poster
Title: When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation
Authors: Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab
Conference: nips 2023 (main track)
Keywords: unsupervised domain adaptation;semantic segmentation;visual prompt tuning
Decision: Poster
Title: Benchmarking Robustness to Adversarial Image Obfuscations
Authors: Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
Affiliations: Google DeepMind; Google Ads Safety; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: obfuscation;benchmark;imagenet;adversarial
Decision: Poster
Title: When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Authors: Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, Colin White
Affiliations: New York University; IIT Bombay; Abacus.AI, Stanford; Abacus.AI, Caltech; University of Maryland; Pinterest
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: tabular data
Decision: Poster
Title: Reusable Slotwise Mechanisms
Authors: Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Duy Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio
Affiliations: Mila – Quebec AI Institute, National University of Singapore, Montreal, Canada; FPT Software AI Center, Ho Chi Minh City, Vietnam; Mila – Quebec AI Institute, FPT Software AI Center, Montreal, Canada; Mila – Quebec AI Institute, Université de Montréal, CIFAR AI Chair, Montreal, Canada; Mila – Quebec AI Institute, Université de Montréal, Montreal, Canada; Mila – Quebec AI Institute, Montreal, Canada
Conference: nips 2023 (main track)
Keywords: Out-of-Distribution Generalization;Slotwise;Visual Reasoning;Video Prediction;Reusable Mechanism;Dynamics modeling
Decision: Poster
Title: Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
Authors: Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen
Affiliations: College of Computer Science and Technology, Zhejiang University; Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph; Department of Data Science & AI, Monash University; State Key Laboratory for Novel Software Technology, Nanjing University; College of Computer Science and Technology, Zhejiang University; ZJU-Hangzhou Global Scientific and Technological Innovation Center; College of Computer Science and Technology, Zhejiang University; Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph; ZJU-Hangzhou Global Scientific and Technological Innovation Center
Conference: nips 2023 (main track)
Keywords: Equivariant Graph Neural Networks;Molecular Dynamics;N-body System;Human Motion
Decision: Spotlight
Title: CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
Authors: Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia
Affiliations: Meetyou AI Lab, Xiamen Key Laboratory of Women’s Internet Health Management, Southwest University of Finance and Economics; Osaka University; Meetyou AI Lab, Xiamen Key Laboratory of Women’s Internet Health Management
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Benchmark;NLP;Large Language Model;Evaluation;Medical Domain;Text Generation
Decision: Poster
Title: HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Authors: Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull
Affiliations: Immersive Content & Comms Research, BT, UK; Visual Information Lab, University of Bristol, UK
Conference: nips 2023 (main track)
Keywords: Video compression;Implicit neural representations
Decision: Poster
Title: EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Authors: Michael Wornow, Rahul Thapa, Ethan Steinberg, Jason Fries, Nigam Shah
Affiliations: Center for Biomedical Informatics Research, Stanford University; Department of Computer Science, Stanford University; Center for Biomedical Informatics Research, Clinical Excellence Research Center, Stanford University, Technology and Digital Solutions, Stanford Healthcare
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: ehr;healthcare;benchmark;dataset;foundation model;emr;electronic health record
Decision: Spotlight
Title: Imitation Learning from Vague Feedback
Authors: Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, Tokyo, Japan
Conference: nips 2023 (main track)
Keywords: imitation learning;vague feedback;risk rewriting;mixture propotion estimation
Decision: Poster
Title: Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
Authors: Jinpeng Chen, Runmin Cong, Yuxuan LUO, Horace Ip, Sam Kwong
Affiliations: School of Control Science and Engineering, Shandong University, Jinan, Shandong, China; Lingnan University, Hong Kong; Department of Computer Science, City University of Hong Kong, Hong Kong
Conference: nips 2023 (main track)
Keywords: Continual learning;Class-incremental semantic segmentation;Prototype replay
Decision: Poster
Title: V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Authors: Senzhang Wang, Jun Yin, Chaozhuo Li, Chaozhuo Li, Xing Xie, Jianxin Wang
Affiliations: Microsoft Research Asia; Central South University
Conference: nips 2023 (main track)
Keywords: Explainable AI;Graph Neural Networks;Machine Learning
Decision: Poster
Title: Convolution Monge Mapping Normalization for learning on sleep data
Authors: Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
Affiliations: Université Paris-Saclay, Inria, CEA, Palaiseau 91120, France; IP Paris, CMAP, UMR 7641, Palaiseau 91120, France
Conference: nips 2023 (main track)
Keywords: Neuroscience;Domain adaptation;Optimal Transport
Decision: Poster
Title: Online POMDP Planning with Anytime Deterministic Guarantees
Authors: Moran Barenboim, Vadim Indelman
Affiliations: Technion Autonomous Systems Program (TASP), Technion - Israel Institute of Technology, NVIDIA; Department of Aerospace Engineering, Technion - Israel Institute of Technology
Conference: nips 2023 (main track)
Keywords: POMDPs;Planning under uncertainty;Robotics
Decision: Poster
Title: Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
Authors: Jameel Abdul Samadh, Mohammad Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muhammad Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan
Affiliations: Mohamed Bin Zayed University of AI, Australian National University; Mohamed Bin Zayed University of AI, Linköping University; Mohamed Bin Zayed University of AI
Conference: nips 2023 (main track)
Keywords: Vision-Language models;Prompt Learning;Test-Time Adaptation
Decision: Poster
Title: Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
Authors: Marc Jourdan, Rémy Degenne
Affiliations: 1Univ. Lille, CNRS, Inria, Centrale Lille, UMR 9189-CRIStAL, F-59000 Lille, France
Conference: nips 2023 (main track)
Keywords: multi-armed bandits;best-arm identification;Gaussian bandits;Top Two algorithm;fixed confidence;finite confidence
Decision: Spotlight
Title: Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
Authors: Jacob Zavatone-Veth, Paul Masset, William Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan
Affiliations: John A. Paulson School of Engineering and Applied Sciences, Harvard University; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University; Center for Brain Science, Harvard University; Department of Physics, Harvard University; Center for Brain Science, Harvard University; John A. Paulson School of Engineering and Applied Sciences, Harvard University; Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University; Department of Biological Sciences, University of Illinois at Chicago; Center for Brain Science, Harvard University; Department of Molecular and Cellular Biology, Harvard University
Conference: nips 2023 (main track)
Keywords: Olfaction;Bayesian inference;neural circuits;normative models;population geometry
Decision: Poster
Title: SALSA VERDE: a machine learning attack on LWE with sparse small secrets
Authors: Cathy Li, Emily Wenger, Zeyuan Allen-Zhu, Francois Charton, Kristin E. Lauter
Affiliations: The University of Chicago; FAIR, Meta
Conference: nips 2023 (main track)
Keywords: machine learning;cryptography;cryptanalysis
Decision: Poster
Title: Neural Priming for Sample-Efficient Adaptation
Authors: Matthew Wallingford, Vivek Ramanujan, Alex Fang, Aditya Kusupati, Roozbeh Mottaghi, Aniruddha Kembhavi, Ludwig Schmidt, Ali Farhadi
Affiliations: University of Washington; PRIOR, Allen Institute for AI
Conference: nips 2023 (main track)
Keywords: Transfer Learning;Distribution Shift;Test-Time Training
Decision: Poster
Title: Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
Authors: Chudi Zhong, Zhi Chen, Jiachang Liu, Margo Seltzer, Cynthia Rudin
Affiliations: Duke University; The University of British Columbia
Conference: nips 2023 (main track)
Keywords: Interpretability;human-model interaction;generalized additive model;Rashomon set
Decision: Poster
Title: Coneheads: Hierarchy Aware Attention
Authors: Albert Tseng, Tao Yu, Toni Liu, Christopher De Sa
Affiliations: Cornell University
Conference: nips 2023 (main track)
Keywords: Hyperbolic Entailment Cones;Hyperbolic Space;Entailment Cones;Attention;Dot Product;Hierarchy;Transformers
Decision: Poster
Title: Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Authors: Yihua Zhang, Yimeng Zhang, Aochuan Chen, jinghan jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Affiliations: University of Minnesota, Twin City; Michigan State University; Cisco Research; UC Santa Barbara
Conference: nips 2023 (main track)
Keywords: Dataset pruning;transfer learning
Decision: Poster
Title: BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Authors: Stephanie Milani
Affiliations: ; Carnegie Mellon University; University of Bath; OpenAI; Microsoft Research; University of Maryland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: learning from human feedback;minecraft;human evaluation;embodied agents;rlhf;demonstrations;benchmark;evaluations
Decision: Oral
Title: Temporal Dynamic Quantization for Diffusion Models
Authors: Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Affiliations: SqueezeBits. Inc; Graduate School of Artificial and Intelligence, POSTECH; Department of Computer Science and Engineering, POSTECH
Conference: nips 2023 (main track)
Keywords: deep learning optimization;quantization;diffusion model;generative model
Decision: Poster
Title: Flow Matching for Scalable Simulation-Based Inference
Authors: Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen Green, Jakob H Macke, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems & Machine Learning in Science, University of Tübingen, Tübingen, Germany; University of Nottingham, Nottingham, United Kingdom
Conference: nips 2023 (main track)
Keywords: simulation-based inference;likelihood-free inference;machine learning for physical sciences
Decision: Poster
Title: Optimal Transport Model Distributional Robustness
Authors: Van-Anh Nguyen, Trung Le, Anh Bui, Thanh-Toan Do, Dinh Phung
Affiliations: Department of Data Science and AI, Monash University, Australia; Department of Data Science and AI, Monash University, Australia; VinAI, Vietnam
Conference: nips 2023 (main track)
Keywords: Distributional Robustness;Sharpness-aware;SAM
Decision: Poster
Title: On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Authors: Laura F. Nern, Harsh Raj, Maurice André Georgi, Yash Sharma
Affiliations: Hyundai Mobis; Yahoo Research; University of Tübingen; Delhi Technological University
Conference: nips 2023 (main track)
Keywords: Machine Learning Theory;Transfer Learning;Adversarial Robustness
Decision: Poster
Title: Fairness-guided Few-shot Prompting for Large Language Models
Authors: Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Affiliations: Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore; AI Lab, Tencent, Shenzhen, China; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2023 (main track)
Keywords: large language models;prompts;classification
Decision: Poster
Title: A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
Authors: Yixuan Xu, Steven Jecmen, Zimeng Song, Fei Fang
Affiliations: Independent Researcher; Carnegie Mellon University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: peer review;randomized paper assignment;mitigating malicious behavior;convex optimization
Decision: Spotlight
Title: Optimal Transport for Treatment Effect Estimation
Authors: Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Conference: nips 2023 (main track)
Keywords: treatment effect estimation;optimal transport;wasserstein;causal inference;counterfactual
Decision: Poster
Title: Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment
Authors: Tahereh Toosi, Elias Issa
Affiliations: Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY; Center for Theoretical Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY
Conference: nips 2023 (main track)
Keywords: Visual inference;Bio-plausible learning algorithm;Feedback connections;Visual imagery;Occlusions;Noise
Decision: Poster
Title: Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games
Authors: Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet
Affiliations: Stanford University; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG 38000 Grenoble, France
Conference: nips 2023 (main track)
Keywords: quantum games;Matrix Multiplicative Weights;zero-sum games;Nash equilibrium
Decision: Poster
Title: ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Authors: Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang
Affiliations: Purdue University
Conference: nips 2023 (main track)
Keywords: NLP;backdoor attack;fuzzing
Decision: Poster
Title: Brant: Foundation Model for Intracranial Neural Signal
Authors: Daoze Zhang, Zhizhang Yuan, YANG YANG, Junru Chen, Jingjing Wang, Yafeng Li
Affiliations: Nuozhu Technology Co., Ltd.; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Foundation model;Brain signal;Pretraining;Medicine
Decision: Poster
Title: DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Authors: Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola
Affiliations: MIT; Weizmann Institute of Science; Adobe Research
Conference: nips 2023 (main track)
Keywords: perceptual similarity;foundation model;perception;computer vision;image metric
Decision: Spotlight
Title: Propagating Knowledge Updates to LMs Through Distillation
Authors: Shankar Padmanabhan, Yasumasa Onoe, Michael Zhang, Greg Durrett, Eunsol Choi
Affiliations: Department of Computer Science, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Knowledge editing;NLP;Distillation;deep learning;fine-tuning
Decision: Poster
Title: Zero-One Laws of Graph Neural Networks
Authors: Sam Adam-Day, Iliant, Ismail Ceylan
Affiliations: Department of Computer Science, University of Oxford, Oxford, UK; Department of Mathematics, University of Oxford, Oxford, UK
Conference: nips 2023 (main track)
Keywords: graph neural networks;graph convolutional networks;zero-one law;expressivity;asymptotic behavior
Decision: Poster
Title: First Order Stochastic Optimization with Oblivious Noise
Authors: Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park, Christos Tzamos
Affiliations: Department of Computer Sciences, University of Wisconsin-Madison; Department of Informatics, University of Athens; KRAFTON
Conference: nips 2023 (main track)
Keywords: Oblivious noise;Robust Statistics;Heavy-tailed Stochastic Optimization;Approximate Gradients;Inexact Gradients
Decision: Poster
Title: Don’t just prune by magnitude! Your mask topology is a secret weapon
Authors: Duc Hoang, Souvik Kundu, Shiwei Liu, Shiwei Liu, Zhangyang "Atlas" Wang
Affiliations: University of Texas at Austin; Eindhoven University of Technology, University of Texas at Austin; Intel Labs
Conference: nips 2023 (main track)
Keywords: Pruning at Initialization;Pruning at Training;LTH;DST;Ramanujan;graph
Decision: Poster
Title: Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
Authors: Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Affiliations: Department of Mathematics, Imperial College London; Department of Statistics, University of Oxford
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning Theory;Policy Mirror Descent;Policy Gradient
Decision: Poster