hunoutl/paperlists huggingface dataset:
Title: Learning Locality and Isotropy in Dialogue Modeling
Authors: Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song
Affiliations: Sensetime Research; Department of Computer Science, City University of Hong Kong; City University of Hong Kong Shenzhen Research Institute
Conference: iclr 2023 (main track)
Keywords: dialogue system;representation learning;feature space calibration
Decision: Poster
Title: Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
Authors: Yoav
Affiliations: Technion; Tel Aviv University; Weizmann Institute of Science; Johns Hopkins University
Conference: iclr 2023 (main track)
Keywords: Invariance;Overparameterization;Fairness;Robustness;Benign Overfitting
Decision: Poster
Title: Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
Authors: Kuan Li, Yang Liu, Xiang Ao, Qing He
Affiliations: Key Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Conference: iclr 2023 (main track)
Keywords: Graph Adversarial Attack;Robustness;Data Distribution
Decision: Poster
Title: A General Rank Preserving Framework for Asymmetric Image Retrieval
Authors: Hui Wu, Min Wang, Wengang Zhou, Houqiang Li
Affiliations: Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center; CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China
Conference: iclr 2023 (main track)
Keywords: Asymmetric image retreival
Decision: Poster
Title: Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
Authors: Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric Xing
Affiliations: Carnegie Mellon University, Mohamed bin Zayed University of Artificial Intelligence, Petuum Inc.; Massachusetts Institute of Technology; Carnegie Mellon University; Columbia University
Conference: iclr 2023 (main track)
Keywords: federated learning;variational inference;expectation propagation
Decision: Poster
Title: Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Authors: Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang
Affiliations: University of Cambridge; Microsoft Research Cambridge
Conference: iclr 2023 (main track)
Keywords: causality;causal discovery;causal inference;structural equation model;latent confounders;variational inference
Decision: Poster
Title: Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Authors: Kazuki Irie, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland; The Swiss AI Lab, IDSIA, USI & SUPSI, Lugano, Switzerland; AI Initiative, KAUST, Thuwal, Saudi Arabia
Conference: iclr 2023 (main track)
Keywords: learning rules;Fast Weight Programmers;linear Transformers;image generation;GANs
Decision: Poster
Title: Equal Improvability: A New Fairness Notion Considering the Long-term Impact
Authors: Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee
Affiliations: University of Wisconsin-Madison; Yonsei University; University of California, Santa Barbara
Conference: iclr 2023 (main track)
Keywords: Fairness and Bias in Artificial Intelligence;Machine Learning
Decision: Poster
Title: Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
Authors: Hyunwoo Ryu, Hong-in Lee, Jeong-Hoon Lee, Jongeun Choi
Affiliations: Department of Artificial Intelligence, Yonsei University; Department of Artificial Intelligence, Yonsei University, School of Mechanical Engineering, Yonsei University; Samsung Research, School of Mechanical Engineering, Yonsei University
Conference: iclr 2023 (main track)
Keywords: Robotics;Manipulation;Robotic manipulation;Equivariance;SE(3);SO(3);Energy-based model;Lie group;Representation theory;Equivariant robotics;Roto-translation equivariance;End-to-end;Point clouds;Graph neural networks;Imitation learning;Learning from demonstration;Sample efficient;Few shot;Unseen object;Category-level manipulation;MCMC;Langevin dynamics
Decision: Poster
Title: A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Authors: Zixiang Chen, Chris Junchi Li, Angela Yuan, Quanquan Gu, Michael Jordan
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Department of Computer Science, University of California, Los Angeles; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley & Department of Statistics, University of California, Berkeley
Conference: iclr 2023 (main track)
Keywords: general function approximation;sample-efficient RL;optimization-based exploration;Eluder dimension;Bellman rank;witness rank;complexity measure;hypothesis class
Decision: Top-25%
Title: Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Authors: Chenxiao Yang, Qitan Wu, Jiahua Wang, Junchi Yan
Affiliations: Department of CSE & MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of CSE & MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Laboratory
Conference: iclr 2023 (main track)
Keywords: Graph Neural Networks;Generalization
Decision: Poster
Title: EquiMod: An Equivariance Module to Improve Visual Instance Discrimination
Authors: Alexandre DEVILLERS, Mathieu Lefort
Affiliations: Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205, F-69622 Villeurbanne, France
Conference: iclr 2023 (main track)
Keywords: Representation learning;Self-supervised learning;Contrastive learning;Equivariance
Decision: Poster
Title: Using Language to Extend to Unseen Domains
Authors: Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, trevor darrell, Joseph E Gonzalez, Aditi Raghunathan, Anna Rohrbach
Affiliations: Carnegie Mellon University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: vision and language;robust training;domain adaptation
Decision: Top-25%
Title: Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement
Authors: Samuel Neumann, Sungsu Lim, Ajin Joseph, Yangchen Pan, Adam White, Martha White
Affiliations: Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada
Conference: iclr 2023 (main track)
Keywords: actor-critic;policy gradient;entropy;cross-entropy method;greedy actor-critic;policy optimization
Decision: Poster
Title: Contrastive Corpus Attribution for Explaining Representations
Authors: Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
Conference: iclr 2023 (main track)
Keywords: explainable artificial intelligence;interpretable machine learning;feature attributions;contrastive explanations
Decision: Poster
Title: Pseudo-label Training and Model Inertia in Neural Machine Translation
Authors: Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, georgiana dinu
Affiliations: AWS AI Labs
Conference: iclr 2023 (main track)
Keywords: knowledge distillation;semi-supervised learning;self-training;forward translation;stability;robustness;machine translation
Decision: Poster
Title: Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
Authors: Jeremy Ocampo, Matthew Price, Jason McEwen
Affiliations: Kagenova Limited, University College London (UCL)∗; Kagenova Limited, University College London (UCL)
Conference: iclr 2023 (main track)
Keywords: Spherical CNNs;rotational equivariance;efficient algorithms
Decision: Poster
Title: Temperature Schedules for self-supervised contrastive methods on long-tail data
Authors: Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
Affiliations: University of Oxford; Goethe University Frankfurt, MIT-IBM Watson AI Lab; MPI for Informatics, Saarland Informatics Campus
Conference: iclr 2023 (main track)
Keywords: contrastive learning;long-tail data;self-supervised learning;temperature;analysis
Decision: Poster
Title: Solving stochastic weak Minty variational inequalities without increasing batch size
Authors: Thomas Pethick "3026 Olivier Fercoq "3026 Puya Latafat "3026 Panagiotis Patrinos[3] "3026 Volkan Cevher[1] 
Affiliations: Laboratory for Information and Inference Systems (LIONS), EPFL; Department of Electrical Engineering (ESAT-STADIUS), KU Leuven; Laboratoire Traitement et Communication d’Information, Télécom Paris, Institut Polytechnique de Paris
Conference: iclr 2023 (main track)
Keywords: Variational inequalities;stochastic first-order methods;nonconvex-nonconcave;minimax
Decision: Poster
Title: NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis
Authors: Hyeong-Seok Choi, Jinhyeok Yang, Juheon Lee, Hyeongju Kim
Affiliations: Seoul National University; Supertone, Inc.
Conference: iclr 2023 (main track)
Keywords: voice synthesis;integrated framework;zero-shot voice conversion;text-to-speech;singing voice synthesis;voice designing
Decision: Poster
Title: Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
Authors: Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, MA KAILI, Han Yang, Peilin Zhao, Bo Han, James Cheng
Affiliations: Hong Kong Baptist University; Tencent AI Lab; The Chinese University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Out-of-Distribution Generalization;Optimization;Multi-Objective Optimization;Causal Invariance
Decision: Poster
Title: Learning Symbolic Models for Graph-structured Physical Mechanism
Authors: Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
Affiliations: Biren Tech; Department of Electronic Engineering, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Symbolic Regression;Graph Neural Networks;Physical Mechanism;Message-Passing Flow
Decision: Poster
Title: Generate rather than Retrieve: Large Language Models are Strong Context Generators
Authors: Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Affiliations: Microsoft Cognitive Service Research; University of Southern California; University of Notre Dame
Conference: iclr 2023 (main track)
Keywords: prompt learning;large language model;open-domain question answering
Decision: Poster
Title: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Authors: Michael Chang, Alyssa Li Dayan, Franziska Meier, Thomas L. Griffiths, Sergey Levine, Amy Zhang
Affiliations: University of California, Berkeley and Meta AI (work done as an intern at Meta AI); University of California, Berkeley; Meta AI; Affiliation not provided
Conference: iclr 2023 (main track)
Keywords: objects;combinatorial generalization;abstraction;rearrangement;slots;binding;hierarchy;compositionality;symmetry;independence;graph search
Decision: Poster
Title: GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure
Authors: Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, Alan Turing Institute
Conference: iclr 2023 (main track)
Keywords: tabular data;synthetic data;generative model
Decision: Poster
Title: Language models are multilingual chain-of-thought reasoners
Authors: Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei
Affiliations: Dartmouth College; Google Research, Toyota Technological Institute at Chicago; Google Research, Stanford University; Google Research
Conference: iclr 2023 (main track)
Keywords: multilingual;reasoning;large language model
Decision: Poster
Title: Multi-objective optimization via equivariant deep hypervolume approximation
Authors: Jim Boelrijk, Bernd Ensing, Patrick Forré
Affiliations: AI4Science Lab, AMLab, Informatics Institute, University of Amsterdam; AI4Science Lab, AMLab, Informatics Institute, HIMS, University of Amsterdam; AI4Science Lab, HIMS, University of Amsterdam
Conference: iclr 2023 (main track)
Keywords: Multi-objective optimization;Hypervolume approximation;Geometric deep learning;Bayesian optimization;Evolutionary algorithms
Decision: Poster
Title: On Accelerated Perceptrons and Beyond
Authors: Guanghui Wang, Rafael Hanashiro, Etash Guha, Jacob Abernethy
Affiliations: College of Computing, Georgia Tech, Atlanta, GA, USA and Google Research, Atlanta, GA 30309; College of Computing, Georgia Tech, Atlanta, GA, USA; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
Conference: iclr 2023 (main track)
Keywords: Perceptron;game;optimistic online learning;implicit bias;margin maximization
Decision: Poster
Title: $k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Authors: Benfeng Xu, Quan Wang, Zhendong Mao, Yajuan Lyu, Qiaoqiao She, Yongdong Zhang
Affiliations: Beijing University of Posts and Telecommunications, Beijing, China; Baidu Inc., Beijing, China; University of Science and Technology of China, Hefei, China; Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center, China
Conference: iclr 2023 (main track)
Keywords: Large Language Models;In-Context Learning;K Nearest Neighbors
Decision: Poster
Title: Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation
Authors: Haoyue Cheng, Zhaoyang Liu, Wayne Wu, Limin Wang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, China; Shanghai AI Laboratory; Shanghai AI Laboratory; State Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
Authors: Zehao Niu, Mihai Anitescu, Jie Chen
Affiliations: University of Chicago; MIT-IBM Watson AI Lab, IBM Research; University of Chicago, Argonne National Laboratory
Conference: iclr 2023 (main track)
Keywords: graph neural network;Gaussian process;semi-supervised learning
Decision: Poster
Title: Spikformer: When Spiking Neural Network Meets Transformer
Authors: Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, shuicheng YAN, Yonghong Tian, Yuan Li
Affiliations: 1Peking University, 2Peng Cheng Laboratory; 2Peng Cheng Laboratory; 1Peking University; 1Peking University, 2Peng Cheng Laboratory, 4Shenzhen EEGSmart Technology Co., Ltd.; 3Sea AI Lab
Conference: iclr 2023 (main track)
Keywords: Transformer;Spiking Neural Network
Decision: Poster
Title: New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Authors: Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
Affiliations: DeepBrain AI Inc.; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Cyber Security, Ewha Womans University; Department of Electrical and Computer Engineering, Seoul National University
Conference: iclr 2023 (main track)
Keywords: Continual Learning;Online Continual Learning;Catastrophic Forgetting
Decision: Poster
Title: Exploring Temporally Dynamic Data Augmentation for Video Recognition
Authors: Taeoh Kim, Jinhyung Kim, Minho Shim, Sangdoo Yun, Myunggu Kang, Dongyoon Wee, Sangyoun Lee
Affiliations: NAVER Cloud, AI Tech; Yonsei University; LG AI Research; NAVER AI Lab
Conference: iclr 2023 (main track)
Keywords: Video Recognition;Data Augmentation
Decision: Top-25%
Title: An efficient encoder-decoder architecture with top-down attention for speech separation
Authors: Kai Li, Runxuan Yang, Xiaolin Hu
Affiliations: Department of Computer Science and Technology, Institute for AI, BNRist, Tsinghua University, Beijing 100084, China; Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China; Chinese Institute for Brain Research (CIBR), Beijing 100010, China; Department of Computer Science and Technology, Institute for AI, BNRist, Tsinghua University, Beijing 100084, China
Conference: iclr 2023 (main track)
Keywords: encoder-decoder;top-down attention;speech separation
Decision: Poster
Title: E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
Authors: Jie Zhu, Huabin Huang, Banghuai Li, Leye Wang
Affiliations: Key Lab of High Confidence Software Technologies (Peking University), Ministry of Education, China; School of Computer Science, Peking University, Beijing, China; MEGVII Technology
Conference: iclr 2023 (main track)
Decision: Poster
Title: Towards Stable Test-time Adaptation in Dynamic Wild World
Authors: Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
Affiliations: Tencent AI Lab2; South China University of Technology1; South China University of Technology1Tencent AI Lab2; South China University of Technology1Key Laboratory of Big Data and Intelligent Robot, Ministry of Education4Pazhou Laboratory5; National University of Singapore3
Conference: iclr 2023 (main track)
Keywords: Test-time adaptation;Roustness
Decision: Top-5%
Title: Measure the Predictive Heterogeneity
Authors: Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
Affiliations: Hong Kong University of Science and Technology; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: data heterogeneity;predictive information;predictive heterogeneity
Decision: Poster
Title: Liquid Structural State-Space Models
Authors: Ramin Hasani, Mathias Lechner, Johnson (Tsun-Hsuan) Wang, Makram Chahine, Alexander Amini, Daniela Rus
Affiliations: CSAIL, MIT
Conference: iclr 2023 (main track)
Keywords: state-space models;liquid neural networks;time series. memory;recurrent neural networks
Decision: Poster
Title: EVA3D: Compositional 3D Human Generation from 2D Image Collections
Authors: Fangzhou Hong, Zhaoxi Chen, Yushi LAN, Liang Pan, Ziwei Liu
Affiliations: S-Lab, Nanyang Technological University
Conference: iclr 2023 (main track)
Keywords: 3D Human Generation;Human NeRF;Inverse Graphics
Decision: Top-25%
Title: Deterministic training of generative autoencoders using invertible layers
Authors: Gianluigi Silvestri, Daan Roos, Luca Ambrogioni
Affiliations: UvA-Bosch Delta Lab; OnePlanet Research Center, imec-the Netherlands; Donders Institute for Brain, Cognition and Behaviour; Donders Institute for Brain, Cognition and Behaviour, Radboud University
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Compositional Semantic Parsing with Large Language Models
Authors: Andrew Drozdov, Nathanael Schaerli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
Affiliations: MIT CSAIL; Google Research
Conference: iclr 2023 (main track)
Keywords: large language models;prompting;compositional generalization;natural language processing
Decision: Poster
Title: QAID: Question Answering Inspired Few-shot Intent Detection
Authors: Asaf Yehudai, Matan Vetzler, Yosi Mass, Koren Lazar, Doron Cohen, Boaz Carmeli
Affiliations: Hebrew University of Jerusalem; IBM Israel Research Lab
Conference: iclr 2023 (main track)
Keywords: Intent Detection;Question Answering;Contrastive Learning;Passage Retrieval
Decision: Poster
Title: Unsupervised Model Selection for Time Series Anomaly Detection
Authors: Mononito Goswami, Cristian Challu, Laurent Callot, Lenon Minorics, Andrey Kan
Affiliations: Carnegie Mellon University; Amazon Research
Conference: iclr 2023 (main track)
Keywords: Time Series;Anomaly Detection;Model Selection;Unsupervised Learning;Rank Aggregation
Decision: Top-25%
Title: REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Authors: Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
Affiliations: TU Graz / CSH Vienna; Hive AI; Google Research
Conference: iclr 2023 (main track)
Keywords: Permutation;Invariance;Mode Connectivity;Barrier;Loss landscape;Deep Learning
Decision: Poster
Title: Out-of-distribution Representation Learning for Time Series Classification
Authors: Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
Affiliations: Microsoft Research Asia; Institute of Comput. Tech., CAS; Fudan University
Conference: iclr 2023 (main track)
Keywords: Domain generalization;out-of-distribution generalization;time series classification
Decision: Poster
Title: Bidirectional Propagation for Cross-Modal 3D Object Detection
Authors: Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing
Affiliations: The Chinese University of Hong Kong; City University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Cross-modal;3D Object Detection;3D Point Cloud;Deep Learning
Decision: Poster
Title: Replicable Bandits
Authors: Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas
Affiliations: Yale University; Yale University, Google Research; National Technical University of Athens; Google Research; ETH Zurich
Conference: iclr 2023 (main track)
Keywords: Interactive Learning;Reproducible Learning;Bandit Algorithms
Decision: Poster
Title: Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting
Authors: Myeongho Jeon, Hyoje Lee, Yedarm Seong, Myungjoo Kang
Affiliations: Seoul National University
Conference: iclr 2023 (main track)
Keywords: representation learning;continual learning;unbiased learning
Decision: Poster
Title: Guiding continuous operator learning through Physics-based boundary constraints
Authors: Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle Maddix
Affiliations: Stanford University (450 Serra Mall, Stanford, CA 94305); AWS AI Labs (2795 Augustine Dr, Santa Clara, CA 95054)
Conference: iclr 2023 (main track)
Keywords: partial differential equations;operator learning;physics-constraints;boundary conditions;kernel correction
Decision: Poster
Title: Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Authors: Quentin Bouniot, Romaric Audigier, Angelique Loesch, Amaury Habrard
Affiliations: Institut Universitaire de France (IUF); Universitée Paris-Saclay, CEA, LIST, F-91120, Palaiseau, France; Universitée Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, F-42023, Saint-Etienne, France
Conference: iclr 2023 (main track)
Keywords: Object Detection;Unsupervised;Pretraining;Contrastive Learning
Decision: Top-25%
Title: Promptagator: Few-shot Dense Retrieval From 8 Examples
Authors: Zhuyun Dai, Vincent Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith Hall, Ming-Wei Chang
Affiliations: Google Research
Conference: iclr 2023 (main track)
Keywords: large language model;few-shot prompting;information retrieval
Decision: Poster
Title: Noise Injection Node Regularization for Robust Learning
Authors: Noam Levi, Itay Bloch, Marat Freytsis, Tomer Volansky
Affiliations: Berkeley Center for Theoretical Physics, University of California and Theoretical Physics Group, Lawrence Berkeley National Laboratory, Berkeley, CA, U.S.A.; NHETC, Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, U.S.A.; Department of Physics, Tel Aviv University, Tel Aviv, Israel
Conference: iclr 2023 (main track)
Keywords: Reguralization;Input corruption;Noise Injection;Deep Learning
Decision: Poster
Title: Composing Ensembles of Pre-trained Models via Iterative Consensus
Authors: Shuang Li, Yilun Du, Joshua B Tenenbaum, Antonio Torralba, Igor Mordatch
Affiliations: MIT CSAIL; MIT CSAIL, BCS, CBMM; Google Brain
Conference: iclr 2023 (main track)
Keywords: composing pre-trained models;zero-shot;multimodal;wisdom of the crowds
Decision: Poster
Title: Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
Authors: Alexander Munteanu, Simon Omlor, David Woodruff
Affiliations: Faculty of Statistics, TU Dortmund University, 44227 Dortmund, Germany; Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2023 (main track)
Keywords: regression;sketching;data streams;logistic regression
Decision: Poster