hunoutl/paperlists huggingface dataset:
Title: Restricting the Flow: Information Bottlenecks for Attribution
Authors: Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf
Affiliations: Freie Universit ¨at Berlin; Technische Universit ¨at M ¨unchen
Conference: iclr 2020 (main track)
Keywords: Attribution;Informational Bottleneck;Interpretable Machine Learning;Explainable AI
Decision: Talk
Title: FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary
Affiliations: Beckman Institute, University of Illinois at Urbana-Champaign; StylingAI Inc.; Microsoft Research; School of Computing, Informatics, and Decision Systems Engineering, Arizona State University
Conference: iclr 2020 (main track)
Keywords: Compression of Convolutional Neural Networks;Filter Summary CNNs;Weight Sharing
Decision: Poster
Title: V4D: 4D Convolutional Neural Networks for Video-level Representation Learning
Affiliations: Malong Technologies, Shenzhen, China; Shenzhen Malong Artiﬁcial Intelligence Research Center, Shenzhen, China; State Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: iclr 2020 (main track)
Keywords: video-level representation learning;video action recognition;4D CNNs
Decision: Poster
Title: GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Affiliations: Department of Electrical and Computer Engineering, University of Virginia; Information and Systems Sciences Laboratory, HRL Laboratories, LLC.
Conference: iclr 2020 (main track)
Keywords: adversarial example detection;adversarial examples classification;robust optimization;ML security;generative modeling;generative classification
Decision: Poster
Title: Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution
Affiliations: Indian Institute of Technology Madras, Chennai, India 600036; Indian Institute of Technology Kharagpur, West Bengal, India 721302; Department of Computer Science, University of California, Irvine, California, USA; Media and Data Science Research, Adobe Systems Inc., Noida, Uttar Pradesh, India 201301
Conference: iclr 2020 (main track)
Keywords: Deep Reinforcement Learning;Saliency maps;Chess;Go;Atari;Interpretable AI;Explainable AI
Decision: Poster
Title: Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Affiliations: Department of Computer Science, Cornell University, NY 14853, USA; School of Electronics Engineering and Computer Sciences, Peking University, Peking, China; School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
Conference: iclr 2020 (main track)
Keywords: adversarial examples;adversarial attack;transferability;Nesterov accelerated gradient;scale invariance
Decision: Poster
Title: Continual Learning with Bayesian Neural Networks for Non-Stationary Data
Affiliations: Technical University of Munich; Volkswagen Group, Technical University of Munich; Volkswagen Group
Conference: iclr 2020 (main track)
Keywords: Continual Learning;Online Variational Bayes;Non-Stationary Data;Bayesian Neural Networks;Variational Inference;Lifelong Learning;Concept Drift;Episodic Memory
Decision: Poster
Title: Counterfactuals uncover the modular structure of deep generative models
Affiliations: MPI for Intelligent Systems, Tübingen, Germany; Department of Computer Science, ETH Zürich, Switzerland; MPI for Intelligent Systems, Tübingen, Germany; MPI for Biological Cybernetics, Tübingen, Germany; MPI for Intelligent Systems, Tübingen, Germany
Conference: iclr 2020 (main track)
Keywords: generative models;causality;counterfactuals;representation learning;disentanglement;generalization;unsupervised learning
Decision: Poster
Title: Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
Affiliations: IBM T. J. Watson Research Center, Yorktown Heights, NY, 10598, USA; Department of Computer Science, The University of Iowa, Iowa City, IA, 52242, USA
Conference: iclr 2020 (main track)
Keywords: Generative Adversarial Nets;Adaptive Gradient Algorithms
Decision: Poster
Title: Deep Network Classification by Scattering and Homotopy Dictionary Learning
Affiliations: Département d’informatique de l’ENS, ENS, CNRS, PSL University, Paris, France; Collège de France, Paris, France; Flatiron Institute, New York, USA
Conference: iclr 2020 (main track)
Keywords: dictionary learning;scattering transform;sparse coding;imagenet
Decision: Poster
Title: Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication
Affiliations: School of Electronics Engineering and Computer Science, Peking University; Institute for Interdisciplinary Information Sciences, Tsinghua University; Key Laboratory of Machine Perception, MOE, School of EECS, Peking University; Key Laboratory of Machine Perception, MOE, School of EECS, Center for Data Science, Peking University
Conference: iclr 2020 (main track)
Keywords: Theory;Bandit Algorithms;Communication Efficiency
Decision: Poster
Title: CoPhy: Counterfactual Learning of Physical Dynamics
Affiliations: Laboratoire d’Informatique de l’Univ. de Tours, INSA Centre Val de Loire, Blois, France; Simon Fraser University and Borealis AI, Vancouver, Canada; Universit ´e Lyon, INSA Lyon, CNRS, LIRIS, Villeurbanne, France; Inria, Chroma group, CITI Laboratory, Villeurbanne, France; Facebook AI Research, Paris, France
Conference: iclr 2020 (main track)
Keywords: intuitive physics;visual reasoning
Decision: Spotlight
Title: Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Authors: Roman Novak*, Lechao Xiao*, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz*
Affiliations: University of Cambridge; Google Brain
Conference: iclr 2020 (main track)
Keywords: Infinite Neural Networks;Gaussian Processes;Neural Tangent Kernel;NNGP;NTK;Software Library;Python;JAX
Decision: Spotlight
Title: SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Affiliations: Facebook AI Research, Montreal, Canada; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2020 (main track)
Keywords: distributed optimization;decentralized training methods;communication-efficient distributed training with momentum;large-scale parallel SGD
Decision: Poster
Title: Dynamic Time Lag Regression: Predicting What & When
Affiliations: INRIA-Saclay; Centrum Wiskunde en Informatica, Amsterdam 1098XG; CNRS−Univ. Paris-Saclay; CIRES, University of Colorado, Boulder, CO; University of New Hampshire, Durham, NH 03824
Conference: iclr 2020 (main track)
Keywords: Dynamic Time-Lag Regression;Time Delay;Regression;Time Series
Decision: Poster
Title: To Relieve Your Headache of Training an MRF, Take AdVIL
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, Institute for AI, THBI Lab, Tsinghua University, Beijing, 100084, China; University of Amsterdam, and the Canadian Institute for Advanced Research (CIFAR)
Conference: iclr 2020 (main track)
Keywords: Markov Random Fields;Undirected Graphical Models;Variational Inference;Black-box Infernece
Decision: Poster
Title: Artificial Design: Modeling Artificial Super Intelligence with Extended General Relativity and Universal Darwinism via Geometrization for Universal Design Automation
Conference: iclr 2020 (main track)
Keywords: Artificial Design;Artificial Super Intelligence;General Relativity;Universal Darwinism;Geometrization;Gene;Manifold;Tensor;SpaceTime;GeneSpace;Deep Reinforcement Learning;Universal Approximation;Geometry Effect;Universal Design Automation;Universal Paradox
Decision: Desk Reject
Title: Deep neuroethology of a virtual rodent
Affiliations: Program in Neuroscience, Center for Brain Science, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA; DeepMind, London, UK; Center for Brain Science, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
Conference: iclr 2020 (main track)
Keywords: computational neuroscience;motor control;deep RL
Decision: Spotlight
Title: CoRelatE: Modeling the Correlation in Multi-fold Relations for Knowledge Graph Embedding
Affiliations: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.; 709th Research Institute, China Shipbuilding Industry Corporation, Wuhan 430074, China.; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen 518063, China.
Conference: iclr 2020 (main track)
Keywords: multi-fold relation;knowledge graph embedding
Decision: Withdraw
Title: Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models
Affiliations: Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
Conference: iclr 2020 (main track)
Keywords: energy model;restricted Boltzmann machine;contrastive divergence;unbiased Markov chain Monte Carlo;distribution coupling
Decision: Spotlight
Title: On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Affiliations: Department of Computer Sciences, University of Wisconsin–Madison, Madison, WI, USA; XaiPient, Princeton, NJ, USA; Department of Computer Sciences, University of Wisconsin–Madison, Madison, WI, USA; Computer Science Laboratory, SRI International, Menlo Park, CA, USA
Conference: iclr 2020 (main track)
Keywords: Manifold-based Defense;Robust Learning;Adversarial Attacks
Decision: Poster
Title: GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
Affiliations: Stevens Institute of Technology, Hoboken, USA; Michigan Technological University, Houghton, USA; Cornell University, Ithaca, USA
Conference: iclr 2020 (main track)
Keywords: graph embedding;unsupervised learning;multi-level optimization;spectral graph theory
Decision: Talk
Title: Variational Recurrent Models for Solving Partially Observable Control Tasks
Affiliations: Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology, Okinawa, Japan; Neural Computation Unit, Okinawa Institute of Science and Technology, Okinawa, Japan
Conference: iclr 2020 (main track)
Keywords: Reinforcement Learning;Deep Learning;Variational Inference;Recurrent Neural Network;Partially Observable;Robotic Control;Continuous Control
Decision: Poster
Title: The Logical Expressiveness of Graph Neural Networks
Affiliations: University of Oxford; IMC, PUC & IMFD Chile; DCC, UChile & IMFD Chile; DCC, UChile; DCC, PUC & IMFD Chile; IMFD Chile
Conference: iclr 2020 (main track)
Keywords: Graph Neural Networks;First Order Logic;Expressiveness
Decision: Spotlight
Title: InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Affiliations: Mila-Quebec Institute for Learning Algorithms, Canada, Harvard University, USA; Mila-Quebec Institute for Learning Algorithms, Canada, Aalto University, Finland; National Taiwan University, Mila-Quebec Institute for Learning Algorithms, Canada; Mila-Quebec Institute for Learning Algorithms, Canada, HEC Montreal, Canada, CIFAR AI Research Chair
Conference: iclr 2020 (main track)
Keywords: graph-level representation learning;mutual information maximization
Decision: Spotlight
Title: Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks
Affiliations: Department of Medicine, University of California, San Diego, La Jolla, CA; Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA; Department of Computer Science, New Mexico Tech, Socorro, NM
Conference: iclr 2020 (main track)
Keywords: Adversarial Robustness;Generalization;Neural Computing;Deep Learning
Decision: Poster
Title: SVQN: Sequential Variational Soft Q-Learning Networks
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, Institute for AI, THBI Lab, Tsinghua University; Dept. of Comp. Sci. & Tech., BNRist Center, Institute for AI, THBI Lab, Tsinghua University; RealAI
Conference: iclr 2020 (main track)
Keywords: reinforcement learning;POMDP;variational inference;generative model
Decision: Poster
Title: Low-Resource Knowledge-Grounded Dialogue Generation
Affiliations: Wangxuan Institute of Computer Technology, Peking University, Beijing, China and Beijing Academy of Artiﬁcial Intelligence (BAAI), Beijing, China; Wangxuan Institute of Computer Technology, Peking University, Beijing, China; Microsoft Corporation, Beijing, China
Conference: iclr 2020 (main track)
Decision: Poster
Title: Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
Affiliations: School of Informatics, The University of Edinburgh, Edinburgh, EH8 9AB, UK
Conference: iclr 2020 (main track)
Keywords: convolutional neural networks;neural network transparency;AI explainability;deep Taylor decomposition;supervised classification;zebrafish;transparency;behavioral research;optical flow
Decision: Poster
Title: Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Affiliations: SayMosaic Inc., Palo Alto, CA, USA, 94303; STKO Lab, University of California, Santa Barbara, CA, USA, 93106; LinkedIn Corporation, Mountain View, CA, USA, 94043
Conference: iclr 2020 (main track)
Keywords: Grid cell;space encoding;spatially explicit model;multi-scale periodic representation;unsupervised learning
Decision: Spotlight
Title: Spike-based causal inference for weight alignment
Affiliations: Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada; Mila, Montreal, QC, Canada; Department of Neurology & Neurosurgery, McGill University, Montreal, QC, Canada; School of Computer Science, McGill University, Montreal, QC, Canada; Canadian Institute for Advanced Research, Toronto, ON, Canada; Department of Bioengineering, University of Pennsylvania, PA, United States
Conference: iclr 2020 (main track)
Keywords: causal;inference;weight;transport;rdd;regression;discontinuity;design;cifar10;biologically;plausible
Decision: Poster
Title: MEMO: A Deep Network for Flexible Combination of Episodic Memories
Affiliations: DeepMind, London, UK; Department of Cell and Developmental Biology, University College London, London, UK; DeepMind, London, UK; CoMPLEX, University College London, London, UK
Conference: iclr 2020 (main track)
Keywords: Memory Augmented Neural Networks;Deep Learning
Decision: Poster
Title: Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks
Affiliations: KAIST; AITRICS; TmaxData; KAIST, AITRICS
Conference: iclr 2020 (main track)
Keywords: meta-learning;few-shot learning;Bayesian neural network;variational inference;learning to learn;imbalanced and out-of-distribution tasks for few-shot learning
Decision: Talk
Title: Information Geometry of Orthogonal Initializations and Training
Affiliations: Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, NY 11733; Departments of Applied Mathematics and Statistics, and Electrical and Computer Engineering, Institutes for Advanced Computing Science and AI-driven Discovery and Innovation, Stony Brook University, Stony Brook, NY 11733
Conference: iclr 2020 (main track)
Keywords: Fisher;mean-field;deep learning
Decision: Poster
Title: Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies
Affiliations: Department of Computer Science, University of Science and Technology of China; School of Mathematics and Statistics, Shandong University; Department of Computer Science, East China Normal University; Insitute for Data and Decision Analytics, The Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society; Insitute for Data and Decision Analytics, The Chinese University of Hong Kong, Shenzhen & Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society & Georgia Institute of Technology
Conference: iclr 2020 (main track)
Keywords: off-policy policy evaluation;multiple importance sampling;kernel method;variance reduction
Decision: Poster
Title: Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Affiliations: Department of Computer Science, TU Darmstadt, IAS, Darmstadt, Germany; Politecnico di Milano, DEIB, Milano, Italy; TU Darmstadt, IAS, Darmstadt, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2020 (main track)
Keywords: Deep Reinforcement Learning;Multi-Task
Decision: Poster
Title: Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach
Affiliations: Inria, Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000 Grenoble, France; ETIS UMR8051, CY University, ENSEA, CNRS, F-95000, Cergy, France
Conference: iclr 2020 (main track)
Keywords: Online optimization;stochastic optimization;Poisson inverse problems
Decision: Spotlight
Title: Learning Expensive Coordination: An Event-Based Deep RL Approach
Affiliations: School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: iclr 2020 (main track)
Keywords: Multi-Agent Deep Reinforcement Learning;Deep Reinforcement Learning;Leader–Follower Markov Game;Expensive Coordination
Decision: Poster
Title: Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; ETH Zürich, Zürich, Switzerland; University of Freiburg, Germany; Max Planck Institute for Intelligent Systems, Stuttgart/Tübingen, Germany
Conference: iclr 2020 (main track)
Keywords: Transfer Learning;Meta Learning;Bayesian Optimization;Reinforcement Learning
Decision: Spotlight
Title: Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
Affiliations: College of Intelligence and Computing, Tianjin University, Tianjin Key Lab of Machine Learning, Tianjin University, Noah’s Ark Lab, Huawei; College of Intelligence and Computing, Tianjin University; NetEase Fuxi AI Lab; Nanjing University
Conference: iclr 2020 (main track)
Keywords: multiagent coordination;multiagent learning
Decision: Poster
Title: Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning
Affiliations: Center for Data Science, New York University; Electronic Engineering, CUHK; EECS, UC Berkeley; Electrical & Computer Engineering, University of Denver; Electrical & Computer Engineering, Rutgers University
Conference: iclr 2020 (main track)
Keywords: dictionary learning;sparse representations;nonconvex optimization
Decision: Talk
Title: Difference-Seeking Generative Adversarial Network--Unseen Sample Generation
Affiliations: Institute of Information Science and Research Center for Information Technology Innovation, Academia Sinica, Taiwan, ROC; Graduate Institute of Communication Engineering, National Taiwan University, Taiwan, ROC; Graduate Institute of Communication Engineering, National Taiwan University, Taiwan, ROC; Institute of Information Science, Academia Sinica
Conference: iclr 2020 (main track)
Keywords: generative adversarial network;semi-supervised learning;novelty detection
Decision: Poster
Title: Learning the Arrow of Time for Problems in Reinforcement Learning
Affiliations: Image Analysis and Learning Lab, Ruprecht-Karls-Universität, Heidelberg; Max-Planck Institute for Intelligent Systems, Tübingen; Mila, Montréal; CIFAR Senior Fellow; Canada CIFAR AI Chair; Image Analysis and Learning Lab, Ruprecht-Karls-Universität, Heidelberg; Mila, Montréal
Conference: iclr 2020 (main track)
Keywords: Arrow of Time;Reinforcement Learning;AI-Safety
Decision: Poster
Title: Sampling-Free Learning of Bayesian Quantized Neural Networks
Affiliations: Amazon Web Services, Seattle, WA, USA; Department of Computer Science, University of Maryland, College Park, MD 20740; Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20740
Conference: iclr 2020 (main track)
Keywords: Bayesian neural networks;Quantized neural networks
Decision: Poster
Title: Critical initialisation in continuous approximations of binary neural networks
Affiliations: Institut de Physique Th ´eorique, CNRS & CEA & Universit ´e Paris-Saclay, Saclay, France; Bocconi Institute for DataScience and Analytics, Bocconi University, Milan, Italy; School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, Australia
Conference: iclr 2020 (main track)
Decision: Poster
Title: Infinite-Horizon Differentiable Model Predictive Control
Affiliations: NNAISENSE, Lugano, Switzerland and Department of Engineering Science, University of Oxford, Oxford, UK; Department of Engineering Science, University of Oxford, Oxford, UK; NNAISENSE, Lugano, Switzerland
Conference: iclr 2020 (main track)
Keywords: Model Predictive Control;Riccati Equation;Imitation Learning;Safe Learning
Decision: Poster
Title: A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
Affiliations: 3École Polytechnique Montréal; 4Max-Planck Institute for Intelligent Systems, Tübingen; 3École Polytechnique Montréal, 5Canada CIFAR AI Chair; 1Université de Montréal, 2CIFAR Senior Fellow, 5Canada CIFAR AI Chair; Mila – Montreal, Quebec, Canada
Conference: iclr 2020 (main track)
Keywords: meta-learning;transfer learning;structure learning;modularity;causality
Decision: Poster
Title: Pay Attention to Features, Transfer Learn Faster CNNs
Affiliations: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; University of Macau; Big Data Lab, Baidu Research; University of Cambridge; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Conference: iclr 2020 (main track)
Keywords: transfer learning;pruning;faster CNNs
Decision: Poster
Title: Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Authors: Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks Lakshmanan, Ahmed H Awadallah
Affiliations: University of British Columbia; Hippocratic AI; Microsoft
Conference: iclr 2024 (main track)
Keywords: Large language models;Efficient ML;Query Routing
Decision: Poster
Title: Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Authors: Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Affiliations: Princeton Language and Intelligence, Princeton University; Department of Computer Science and Technology, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: pruning;efficiency;large language models;pre-training
Decision: Poster
Title: AutoLoRa: An Automated Robust Fine-Tuning Framework
Authors: Xilie Xu, Jingfeng Zhang, Mohan Kankanhalli
Affiliations: School of Computing, National University of Singapore; School of Computer Science, The University of Auckland; RIKEN Center for Advanced Intelligence Project (AIP)
Conference: iclr 2024 (main track)
Keywords: robust fine-tuning;adversarial robustness
Decision: Poster
Title: One-shot Empirical Privacy Estimation for Federated Learning
Authors: Galen Andrew, Peter Kairouz, Sewoong Oh, Alina Oprea, H. Brendan McMahan, Vinith Suriyakumar
Affiliations: Google; Northeastern University; MIT
Conference: iclr 2024 (main track)
Keywords: differential privacy;federated learning;empirical privacy
Decision: Oral
Title: From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
Authors: Claudio Battiloro, Indro Spinelli, Lev Telyatinkov, Michael Bronstein, Simone Scardapane, Paolo Di Lorenzo
Affiliations: Oxford University; Sapienza University of Rome; Sapienza University of Rome, Harvard University
Conference: iclr 2024 (main track)
Keywords: Topological Deep Learning;Geometric Deep Learning;Latent Topology Inference;Latent Graph Inference;Cell Complexes
Decision: Poster
Title: Making LLaMA SEE and Draw with SEED Tokenizer
Authors: Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao Wang, Ying Shan
Affiliations: Tencent AI Lab, ARC Lab, Tencent PCG; ARC Lab, Tencent PCG; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Multimodal Large Language Model;Discrete Visual Tokenizer
Decision: Poster