hunoutl/paperlists huggingface dataset:
Title: Near-optimal Coresets for Robust Clustering
Authors: Lingxiao Huang, Shaofeng Jiang, Jianing Lou, Xuan Wu
Affiliations: Peking University; State Key Laboratory of Novel Software Technology, Nanjing University; Huawei TCS Lab
Conference: iclr 2023 (main track)
Keywords: clustering;outlier;robustness;coreset
Decision: Top-5%
Title: Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Authors: Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thuemmel, Martin V. Butz
Affiliations: Neuro-Cognitive Modeling, University of Tübingen; ML in Climate Science, University of Tübingen
Conference: iclr 2023 (main track)
Keywords: object permanence;CATER;unsupervised learning;binding problem
Decision: Poster
Title: Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Authors: Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim
Affiliations: The Ohio State University; MIT-IBM Watson AI Lab; Massachusetts Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Prompt Tuning;Multitask Learning;Transfer Learning
Decision: Poster
Title: DamoFD: Digging into Backbone Design on Face Detection
Authors: Yang Liu, Jiankang Deng, Fei Wang, Lei Shang, Xuansong Xie, Baigui Sun
Affiliations: Alibaba Group; Imperial College London
Conference: iclr 2023 (main track)
Keywords: Face Detection;Neural Architecture Search;Network Expressivity
Decision: Poster
Title: Decision Transformer under Random Frame Dropping
Authors: Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu
Affiliations: Tsinghua Universtiy, Shanghai AI Lab, Shanghai Qi Zhi Institute; Tsinghua University, Shanghai Qi Zhi Institute
Conference: iclr 2023 (main track)
Keywords: Decision Transformer;Reinforcement Learning;Frame Dropping
Decision: Poster
Title: GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
Authors: Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, yang chao, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu
Affiliations: Shanghai AI Laboratory; SenseTime Research, Shanghai AI Laboratory; SenseTime Research
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Environment;Cooperation;Competition;Scalable
Decision: Poster
Title: Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small
Authors: Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt
Affiliations: Redwood Research; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Mechanistic Interpretability;Transformers;Language Models;Interpretability;Transparency;Science of ML
Decision: Poster
Title: FIGARO: Controllable Music Generation using Learned and Expert Features
Authors: Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann
Affiliations: Department of Computer Science, ETH Zürich
Conference: iclr 2023 (main track)
Keywords: symbolic music;style transfer;music generation;controllable generation;human-interpretability;self-supervised learning
Decision: Poster
Title: Words are all you need? Language as an approximation for human similarity judgments
Authors: Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby
Affiliations: Max Planck Institute for Cognitive and Brain Sciences; Max Planck Institute for Empirical Aesthetics; Department of Computer Science, Princeton University; Department of Psychology, Princeton University
Conference: iclr 2023 (main track)
Keywords: cognitive science;language;perception;representational similarity
Decision: Poster
Title: Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures
Conference: iclr 2023 (main track)
Keywords: Gaussian Covariate Model;Gradient Flow;Gradient Descent;Double Descent;Epoch-wise Double Descent;Random Matrix;Linear Pencil;Cauchy Integrals;High-dimensional Limits;Stieltjes Transform;Random Feature Model
Decision: Reject
Title: Autoregressive Conditional Neural Processes
Authors: Wessel Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom Andersson, Anna Vaughan, Anthony Buonomo, Scott Hosking, Richard E Turner
Affiliations: British Antarctic Survey; Microsoft Research AI4Science, University of Cambridge; University of Cambridge; British Antarctic Survey, The Alan Turing Institute
Conference: iclr 2023 (main track)
Decision: Poster
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Authors: Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang
Affiliations: Department of Mathematics, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea; Center for Artificial Intelligence and Natural Sciences, Korea Institute for Advanced Study, Seoul, 02455, Republic of Korea
Conference: iclr 2023 (main track)
Keywords: Hypernetwork;Operator learning;Deep operator network;DeepONet
Decision: Poster
Title: Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Authors: Juhan Bae, Michael Zhang, Michael Ruan, Duanyang Wang, So Hasegawa, Jimmy Ba, Roger Grosse
Affiliations: Fujitsu Limited; University of Toronto, Vector Institute, Anthropic; University of Toronto; University of Toronto, Vector Institute
Conference: iclr 2023 (main track)
Keywords: Variational Autoencoders;VAEs;Hypernetworks;Response Functions;Hyperparameter Tuning
Decision: Top-5%
Title: Disentanglement of Correlated Factors via Hausdorff Factorized Support
Authors: Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
Affiliations: University of Tübingen, ELLIS; University of Tübingen, ELLIS, MPI for Intelligent Systems; MILA, Université de Montréal/DIRO, CIFAR; Meta AI, FAIR
Conference: iclr 2023 (main track)
Keywords: disentanglement;representation learning;generalization
Decision: Poster
Title: ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
Authors: Chiu Wai Yan, Tsz Him Cheung, Dit-Yan Yeung
Affiliations: Department of Computer Science and Engineering, The Hong Kong University of Science and Technology
Conference: iclr 2023 (main track)
Keywords: adversarial examples;adversarial transferability;data augmentation
Decision: Poster
Title: Quantized Compressed Sensing with Score-Based Generative Models
Authors: Xiangming Meng, Yoshiyuki Kabashima
Affiliations: Institute for Physics of Intelligence and Department of Physics, The University of Tokyo, 7-3-1, Hongo, Tokyo 113-0033, Japan
Conference: iclr 2023 (main track)
Keywords: generative models;compressed sensing;linear inverse problems;quantization
Decision: Poster
Title: Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
Authors: Kei Sen Fong, Shelvia Wongso, Mehul Motani
Affiliations: Department of Electrical and Computer Engineering, National University of Singapore; N.1 Institute for Health, Institute for Digital Medicine (WisDM), Institute of Data Science, National University of Singapore; Department of Electrical and Computer Engineering, National University of Singapore
Conference: iclr 2023 (main track)
Decision: Poster
Title: Leveraging Unlabeled Data to Track Memorization
Authors: Mahsa Forouzesh, Hanie Sedghi, Patrick Thiran
Affiliations: Google Research, Brain Team; École Polytechnique Fédérale de Lausanne
Conference: iclr 2023 (main track)
Keywords: memorization;label noise;generalization;unlabeled data;deep learning
Decision: Poster
Title: Global Explainability of GNNs via Logic Combination of Learned Concepts
Authors: Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini
Affiliations: University of Cambridge; University of Trento; University of Trento, Fondazione Bruno Kessler
Conference: iclr 2023 (main track)
Keywords: Explainability;Graph Neural Networks;Concept Learning
Decision: Poster
Title: Structure by Architecture: Structured Representations without Regularization
Authors: Felix Leeb, Giulia Lanzillotta, Yashas Annadani, michel besserve, Stefan Bauer, Bernhard Schoelkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2023 (main track)
Keywords: Autoencoder;Structure;Generative;Architecture;Disentanglement;Regularization;Hybridization
Decision: Poster
Title: Critic Sequential Monte Carlo
Authors: Vasileios Lioutas, Jonathan Lavington, Justice Sefas, Matthew Niedoba, Yunpeng Liu, Berend Zwartsenberg, Setareh Dabiri, Frank Wood, Adam Scibior
Affiliations: Inverted AI; Inverted AI, University of British Columbia; University of British Columbia, Mila
Conference: iclr 2023 (main track)
Keywords: sequential monte carlo;reinforcement learning as inference;soft Q-learning;heuristic factors;driving behavior models
Decision: Poster
Title: TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing
Authors: Jintai Chen, KuanLun Liao, Yanwen Fang, Danny Chen, Jian Wu
Affiliations: Department of Computer Science and Engineering, University of Notre Dame; College of Computer Science and Technology, Zhejiang University; Department of Public Health, Zhejiang University School of Medicine; Department of Statistics & Actuarial Science, The University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: capsule neural network
Decision: Poster
Title: Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Authors: Zhang-Wei Hong, Pulkit Agrawal, Remi Tachet des Combes, Romain Laroche
Affiliations: Massachusetts Institute of Technology, USA; Work done while at Microsoft Research Montreal
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;reinforcement learning;sampling;experience replay
Decision: Poster
Title: StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN
Authors: Eric-Tuan Le, Edward Bartrum, Iasonas Kokkinos
Affiliations: University College London, Alan Turing Institute; University College London
Conference: iclr 2023 (main track)
Keywords: 3D-aware GAN;Template-based;Morphable;Disentanglement;Photorealistic;Neural Radiance Field;StyleGAN
Decision: Poster
Title: Visual Imitation Learning with Patch Rewards
Authors: Minghuan Liu, Tairan He, Weinan Zhang, shuicheng YAN, Zhongwen Xu
Affiliations: Shanghai Jiaotong University; Sea AI Lab; Shanghai Jiaotong University and Sea AI Lab
Conference: iclr 2023 (main track)
Keywords: imitation learning;reinforcement learning
Decision: Poster
Title: Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
Authors: Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G Bellemare, Aaron Courville
Affiliations: Mila, Université de Montréal; Google Brain, Mila, Université de Montréal; Google Brain, Mila
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;sample efficiency;resets
Decision: Top-5%
Title: Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks
Authors: Jianye HAO, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, YAN ZHENG, Zhen Wang
Affiliations: Northwestern Polytechnical University; Noah’s Ark Lab, Huawei; College of Intelligence and Computing, Tianjin University; The Chinese University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Multiagent Reinforcement Learning;Permutation Invariance;Permutation Equivariance
Decision: Poster
Title: FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Authors: Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
Conference: iclr 2023 (main track)
Keywords: Semi-Supervised Learning;Semi-Supervised Classification
Decision: Poster
Title: Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
Authors: Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
Conference: iclr 2023 (main track)
Keywords: Spiking Neural Networks，Spike Calibration，Ultra-low-latency Conversion
Decision: Poster
Title: Graph Contrastive Learning for Skeleton-based Action Recognition
Authors: Xiaohu Huang, Hao Zhou, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang, Xinggang Wang, Wenyu Liu, Bin Feng
Conference: iclr 2023 (main track)
Keywords: Skeleton-based Action Recognition
Decision: Poster
Title: Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
Authors: Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu
Conference: iclr 2023 (main track)
Keywords: Multi-Modal Retrieval;Dense Retrieval;Universal Embedding Space;Modality-Balanced Hard Negative Training;Image Verbalization
Decision: Poster
Title: Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis
Authors: Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, S Basu, Xin Wang, William Wang
Conference: iclr 2023 (main track)
Keywords: Text-to-Image Synthesis;Diffusion Models;Compositional Generation
Decision: Poster
Title: Learning Controllable Adaptive Simulation for Multi-resolution Physics
Authors: Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec
Affiliations: Stanford University; Stanford University, NEC Corporation
Conference: iclr 2023 (main track)
Keywords: adaptive;multi-scale;error vs. computation;controllable
Decision: Top-25%
Title: Preference Transformer: Modeling Human Preferences using Transformers for RL
Authors: Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Affiliations: KAIST; UC Berkeley; Google Research; University of Michigan, LG AI Research
Conference: iclr 2023 (main track)
Keywords: preference-based reinforcement learning;human-in-the-loop reinforcement learning;deep reinforcement learning
Decision: Poster
Title: LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval
Authors: Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang
Affiliations: Microsoft
Conference: iclr 2023 (main track)
Keywords: Self-Supervised Learning;Lexicon Representation;Large-Scale Retrieval
Decision: Poster
Title: DySR: Adaptive Super-Resolution via Algorithm and System Co-design
Authors: Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan
Affiliations: University of Houston; University of Nevada, Reno; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: super-resolution;quality of service;inference;deep learning;systems
Decision: Poster
Title: Unbiased Supervised Contrastive Learning
Authors: Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
Affiliations: University of Turin; LTCI, Tel ´ecom Paris, IP Paris
Conference: iclr 2023 (main track)
Keywords: contrastive learning;debiasing;supervised learning;representation learning;deep learning;neural networks
Decision: Poster
Title: Choreographer: Learning and Adapting Skills in Imagination
Authors: Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Affiliations: ServiceNow Research; Ghent University - imec
Conference: iclr 2023 (main track)
Keywords: unsupervised reinforcement learning;skill learning;world models
Decision: Top-25%
Title: Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Authors: Simone Zini, Alex Gomez-Villa, Marco Buzzelli, Bartłomiej Twardowski, Andrew Bagdanov, Joost van de Weijer
Affiliations: Media Integration and Communication Center, University of Florence, Florence, Italy; Computer Vision Center, Universitat Aut `onoma de Barcelona, Barcelona, Spain; Department of Informatics Systems and Communication, University of Milano – Bicocca, Milan, Italy
Conference: iclr 2023 (main track)
Keywords: Contrastive Learning;Self-Supervised Learning;Color Features;Illuminant Invariance
Decision: Poster
Title: Contextual Convolutional Networks
Authors: Shuxian Liang, Xu Shen, Tongliang Liu, Xian-Sheng Hua
Affiliations: Alibaba Cloud Computing Ltd.; Zhejiang University, Alibaba Cloud Computing Ltd.; Sydney AI Centre, The University of Sydney; Zhejiang University
Conference: iclr 2023 (main track)
Keywords: Convolutional Neural Networks
Decision: Poster
Title: Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
Authors: Yuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu, Guozhi Wang, Fei Chao, Ren Shuai, Yafei Wen, Xiaoxin Chen, Rongrong Ji
Affiliations: MAC Lab, School of Informatics, Xiamen University, Institute of Artificial Intelligence, Xiamen University, Pengcheng Lab; MAC Lab, School of Informatics, Xiamen University; VIVO AI Lab
Conference: iclr 2023 (main track)
Keywords: Image Demoireing;Network Acceleration
Decision: Poster
Title: Continual Transformers: Redundancy-Free Attention for Online Inference
Authors: Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
Affiliations: Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
Conference: iclr 2023 (main track)
Keywords: Transformer;Continual Inference Networks;Online inference;Stream processing;Acceleration;Online Action Detection;Audio classification
Decision: Poster
Title: Flow Matching for Generative Modeling
Authors: Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le
Affiliations: Meta AI (FAIR) and Weizmann Institute of Science; Weizmann Institute of Science; Meta AI (FAIR)
Conference: iclr 2023 (main track)
Keywords: continuous normalizing flows;generative models
Decision: Top-25%
Title: Spatio-temporal point processes with deep non-stationary kernels
Authors: Zheng Dong, Xiuyuan Cheng, Yao Xie
Affiliations: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology; Department of Mathematics, Duke University
Conference: iclr 2023 (main track)
Keywords: point process;neural network;non-stationary kernel;low-rank model
Decision: Poster
Title: Imitating Human Behaviour with Diffusion Models
Authors: Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Affiliations: Microsoft Research
Conference: iclr 2023 (main track)
Keywords: imitation learning;behavioral cloning;behavioral cloning;diffusion models;generative models
Decision: Poster
Title: Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Authors: Muhammad Shoaib Ahmed Siddiqui, Nitarshan Rajkumar, Tegan Maharaj, David Krueger, Sara Hooker
Affiliations: Cohere for AI; University of Cambridge; University of Toronto
Conference: iclr 2023 (main track)
Keywords: Metadata archaeology;Learning curves;Loss trajectory;Data auditing
Decision: Top-25%
Title: Learning Proximal Operators to Discover Multiple Optima
Authors: Lingxiao Li, Noam Aigerman, Vladimir Kim, Jiajin Li, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon
Affiliations: Stanford University; MIT CSAIL; IBM Research, MIT-IBM Watson AI Lab; Adobe Research
Conference: iclr 2023 (main track)
Decision: Poster
Title: Neural Groundplans: Persistent Neural Scene Representations from a Single Image
Authors: Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William Freeman, Fredo Durand, Joshua B Tenenbaum, Vincent Sitzmann
Affiliations: MIT CSAIL; Toyota Research Institute; MIT BCS, MIT CBMM, MIT CSAIL; MIT CSAIL, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions
Conference: iclr 2023 (main track)
Keywords: Neural scene representations;3D;nerf;scene understanding;neural rendering;object-centric representations
Decision: Poster
Title: Sign and Basis Invariant Networks for Spectral Graph Representation Learning
Authors: Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
Affiliations: MIT EECS & MIT RLES; Carnegie Mellon University; MIT LIDS; NVIDIA Research; MIT CSAIL
Conference: iclr 2023 (main track)
Keywords: Invariance;Equivariance;Eigenvectors;Spectral;Neural Networks
Decision: Top-25%
Title: Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Authors: Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon
Affiliations: ASRI/INMC/IPAI/AIIS, Seoul National University; NAVER AI Lab; Department of Electrical and Computer Engineering, Seoul National University
Conference: iclr 2023 (main track)
Keywords: Group Fairness;DRO
Decision: Poster
Title: Order Matters: Agent-by-agent Policy Optimization
Authors: Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang
Affiliations: Digital Brain Lab, University College London; Shanghai Jiao Tong University, Digital Brain Lab; Shanghai Jiao Tong University; ShanghaiTech University
Conference: iclr 2023 (main track)
Keywords: Multi-agent Reinforcement Learning
Decision: Poster
Title: Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
Authors: Kai Xu, Georgi Ganev, Emile Joubert, Rees Davison, Olivier Van Acker, Luke Robinson
Affiliations: Hazy; Hazy, Now at Amazon; work done prior to joining Amazon; Hazy, University College London; Hazy, Also a Ph.D candidate at the University College London
Conference: iclr 2023 (main track)
Keywords: synthetic data generation;random graph generation;differential privacy
Decision: Poster
Title: Dilated convolution with learnable spacings
Authors: Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
Affiliations: IRIT, ANITI, Universit ´e de Toulouse, CNRS, Toulouse INP, UT3, France; Artificial and Natural Intelligence Toulouse Institute (ANITI), Universit ´e de Toulouse, France; CerCo UMR 5549, CNRS & Universit ´e de Toulouse, France
Conference: iclr 2023 (main track)
Keywords: deep learning;convolution;dilated convolution;receptive field
Decision: Poster
Title: MaskViT: Masked Visual Pre-Training for Video Prediction
Authors: Agrim Gupta, Stephen Tian, Yunzhi Zhang, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei
Affiliations: Stanford University; Stanford University, UT Austin, Salesforce AI
Conference: iclr 2023 (main track)
Keywords: Video Prediction;Masked Visual Modeling;Visual MPC;Transformers
Decision: Poster
Title: Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Authors: Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
Affiliations: Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University; Microsoft Corporation
Conference: iclr 2023 (main track)
Keywords: Abstraction Capability;Probing Tasks;Deep Learning;Pre-Trained Language Model
Decision: Poster
Title: Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
Authors: Ping-yeh Chiang, Renkun Ni, David Y. Miller, Arpit Bansal, Jonas Geiping, Micah Goldblum, Tom Goldstein
Affiliations: University of Maryland, College Park; University of Maryland, College Park, Max Planck Institute for Software Systems; New York University
Conference: iclr 2023 (main track)
Keywords: generalization;regularization
Decision: Top-25%
Title: Iterative Patch Selection for High-Resolution Image Recognition
Authors: Benjamin Bergner, Christoph Lippert, Aravindh Mahendran
Affiliations: Hasso Plattner Institute for Digital Engineering, University of Potsdam; Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai; Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: high-resolution images;memory-efficient deep learning;multiple instance learning;transformer;image recognition;computer vision
Decision: Poster
Title: Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
Authors: Biswadeep Chakraborty, Saibal Mukhopadhyay
Affiliations: Department of Electrical and Computer Engineering, Georgia Institute of Technology
Conference: iclr 2023 (main track)
Keywords: theory;spiking neural network;LIF;STDP;heterogeneity;memory capacity;spike efficiency;bayesian optimization
Decision: Poster