hunoutl/paperlists huggingface dataset:
Title: Multi-Resolution Diffusion Models for Time Series Forecasting
Authors: Lifeng Shen, Weiyu Chen, James Kwok
Affiliations: Division of Emerging Interdisciplinary Areas, Hong Kong University of Science and Technology; Department of Computer Science and Engineering, Hong Kong University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: diffusion model;time series;multiscale
Decision: Poster
Title: Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
Authors: Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Affiliations: Karlsruhe Institute of Technology, Germany; University of Tübingen, Germany; Bosch Center for Artificial Intelligence, Germany
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Trajectory Correlation Modeling;Robot Manipulation;Movement Primitives
Decision: Poster
Title: KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Authors: Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z Li
Affiliations: Research Center for Industries of the Future, Westlake University; Zhejiang University; Research Center for Industries of the Future, Westlake University; McGill University, Canada; University of Michigan, USA
Conference: iclr 2024 (main track)
Keywords: Protein Design;Graph;Finetuning
Decision: Poster
Title: Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
Authors: Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
Affiliations: Inﬁnigence-AI; Department of Electronic Engineering, Tsinghua University, Beijing, China; ESAT-PSI, KU Leuven, Leuven, Belgium; Microsoft Research, Redmond, Washington, USA
Conference: iclr 2024 (main track)
Keywords: large language model;efficient inference;data-centric optimization;parallel generation;prompt engineering;planning
Decision: Poster
Title: Bridging State and History Representations: Understanding Self-Predictive RL
Authors: Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon
Affiliations: Mila, Université de Montréal; Princeton University; McGill University; Mila, McGill University
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Representation Learning;POMDPs;Information States;Self-supervised Learning
Decision: Poster
Title: FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler
Authors: Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr Kindratenko, Eliu Huerta, Kibaek Kim, Ravi Madduri
Affiliations: University of Illinois at Urbana-Champaign, VMWare Research; Argonne National Laboratory, University of Illinois at Urbana-Champaign, National Center for Supercomputing Applications; Argonne National Laboratory, University of Illinois at Urbana-Champaign, The University of Chicago; Argonne National Laboratory; University of Illinois at Urbana-Champaign, National Center for Supercomputing Applications
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Device Heterogeneity;Cross-silo Federated Learning
Decision: Poster
Title: Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis
Authors: Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun MA, Zhou Zhao
Affiliations: Zhejiang University; Zhejiang University & ByteDance; ByteDance
Conference: iclr 2024 (main track)
Keywords: Prompting Mechanisms;Zero-Shot Text-to-Speech;Multi-Sentence Prompts
Decision: Poster
Title: OctoPack: Instruction Tuning Code Large Language Models
Authors: Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, xiangru tan h, Leandro Von Werra, Shayne Longpre
Conference: iclr 2024 (main track)
Keywords: large language models;large code models;instruction tuning
Decision: Spotlight
Title: Expressive Losses for Verified Robustness via Convex Combinations
Authors: Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio
Affiliations: Google DeepMind; Inria, École Normale Supérieure, PSL University, CNRS; Imperial College London
Conference: iclr 2024 (main track)
Keywords: Verified Training;Neural Network Verification;Verified Adversarial Robustness
Decision: Poster
Title: HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
Authors: Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B Tenenbaum, Chuang Gan
Affiliations: MIT; University of Massachusetts Amherst/MIT-IBM Watson AI Lab; University of Massachusetts Amherst; Peking University; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: embodied AI;decision making
Decision: Poster
Title: Mayfly: a Neural Data Structure for Graph Stream Summarization
Authors: yuan feng, Yukun Cao, Hairu Wang, Xike Xie, S Kevin Zhou
Affiliations: School of Computer Science, University of Science and Technology of China (USTC), China; School of Biomedical Engineering, USTC, China
Conference: iclr 2024 (main track)
Keywords: Meta-Learning;Memory Augmented Neural Network; Deep Neural Network Application;Graph Summarization
Decision: Spotlight
Title: Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Authors: Yavuz Faruk Bakman, Duygu Nur Yaldiz, Yahya Ezzeldin, Salman Avestimehr
Affiliations: University of Southern California
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Continual Learning;Catastrophic Forgetting
Decision: Poster
Title: Self-Supervised Contrastive Learning for Long-term Forecasting
Authors: Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Affiliations: Kim Jaechul Graduate School of AI, KAIST, Daejeon, Republic of Korea
Conference: iclr 2024 (main track)
Keywords: Contrastive learning;time-series representation;long-term forecasting
Decision: Poster
Title: Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
Authors: Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin CUI
Affiliations: Stanford University; Peking University
Conference: iclr 2024 (main track)
Keywords: Diffusion Model;Text-to-Image Generation;Text-to-Video Editing
Decision: Poster
Title: Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.
Authors: Gabriel Cardoso, Yazid Janati el idrissi, Eric Moulines, Sylvain Le Corff
Affiliations: Ecole polytechnique; Sorbonne Université
Conference: iclr 2024 (main track)
Keywords: Monte Carlo;Denoising Diffusion model;score-based generative models;Sequential Monte Carlo;Bayesian Inverse Problems;Generative Models.
Decision: Oral
Title: Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
Authors: songyao jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang
Affiliations: University of California San Diego, La Jolla CA, USA; Carnegie Mellon University, Pittsburgh PA, USA; Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; Beijing Technology and Business University, Beijing, China; Guangdong University of Technology, Guangzhou, China
Conference: iclr 2024 (main track)
Keywords: causal discovery;latent variable model;structure learning
Decision: Poster
Title: Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Authors: Tokio Kajitsuka, Issei Sato
Affiliations: Department of Computer Science, The University of Tokyo
Conference: iclr 2024 (main track)
Keywords: Transformer;Self-Attention;Memorization;Universal Approximation Theorem;Contextual Mapping
Decision: Poster
Title: Input-gradient space particle inference for neural network ensembles
Authors: Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Affiliations: Department of Computer Science, Aalto University, Finland and Department of Computer Science, University of Manchester, United Kingdom; Department of Computer Science, Aalto University, Finland; Department of Computer Science, University of Helsinki, Finland
Conference: iclr 2024 (main track)
Keywords: deep ensembles;diversity;input gradient;robustness;covariate shift;particle variational inference
Decision: Spotlight
Title: CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
Authors: Xun Jiang, zhuomin chai, Yuxiang Zhao, Yibo Lin, Runsheng Wang, Ru Huang
Affiliations: Peking University; Peking University, Wuhan University
Conference: iclr 2024 (main track)
Keywords: Chip Design;Machine Learning;Dataset
Decision: Poster
Title: Analyzing Complex Interdependencies in Financial Markets: A Neural Network-Based Approach for News Impact Assessment
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: Stock Market Trend Prediction;Market Volatility;LSTM Sentiment Analysis;Demand & Supply Dependency tree;Multi Layer Neural Networks;Learning Statistics;Regressions;Depth-First-Search;Advance Web Scraping;Balance Sheet
Decision: Reject
Title: FedInverse: Evaluating Privacy Leakage in Federated Learning
Authors: DI WU, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
Affiliations: School of Science, Computing and Engineering Technologies, Swinburne University of Technology; School of Information Technology, Deakin University; Computer Center, Peking University; The University of Adelaide; School of Mathematics, Physics and Computing, University of Southern Queensland
Conference: iclr 2024 (main track)
Keywords: Federated learning;Model Inversion Attack;Privacy-Preserving
Decision: Poster
Title: Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Authors: Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
Affiliations: Department of Genetics, Washington University School of Medicine; Department of Radiation Oncology, Washington University School of Medicine; Department of Psychiatry, Washington University School of Medicine; Department of Pediatrics, Washington University School of Medicine; Department of Computer Science & Engineering, Washington University in St. Louis; Institute for Artificial Intelligence, Peking University; Institute for Informatics, Data Science, and Biostatistics, Washington University School of Medicine
Conference: iclr 2024 (main track)
Keywords: Graph neural networks;Graph canonization;Stability
Decision: Poster
Title: MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
Authors: Hanlei Zhang, Xin Wang, Hua Xu, Qianrui Zhou, Jianhua Su, jinyue Zhao, Wenrui Li, Yanting Chen, Kai Gao
Affiliations: Tsinghua University, Hebei University of Science and Technology, Samton (Jiangxi) Technology Development Co.,Ltd, Nanchang 330036 ,China; Tsinghua University, Hebei University of Science and Technology; Hebei University of Science and Technology; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: intent recognition;multimodal dataset;out-of-scope detection;multi-turn conversations;benchmark framework;benchmark evaluation
Decision: Poster
Title: Optimal transport based adversarial patch to leverage large scale attack transferability
Authors: Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin, Milad Leyli-abadi
Affiliations: ONERA/DTIS, University Paris-Saclay; IRT-SystemX
Conference: iclr 2024 (main track)
Keywords: adversarial patch attack;transferability
Decision: Poster
Title: FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
Authors: Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
Affiliations: Nanyang Technological University; Department of Computer Science, Huazhong University of Science and Technology; Zhejiang University; S-Lab, Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Aggregation;Cross-round;Divergence-aware
Decision: Poster
Title: An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models
Authors: Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr
Affiliations: Torr Vision Group, University of Oxford
Conference: iclr 2024 (main track)
Keywords: Vision Language Model;Adversarial Transferability;Prompt Tuning
Decision: Spotlight
Title: Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
Authors: Hugo Cui, Eric Vanden-Eijnden, Florent Krzakala, Lenka Zdeborova
Affiliations: Courant Institute of Mathematical Science, New York University (NYU), New York, USA; Statistical Physics of Computation Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Information Learning and Physics Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Conference: iclr 2024 (main track)
Keywords: statistical physics;flow-based generative model;stochastic interpolation;gaussian mixture;auto-encoder
Decision: Poster
Title: Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
Authors: Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Xinglin Wang, Bin Sun, Heda Wang, Kan Li
Affiliations: Xiaohongshu Inc; School of Computer Science, Beijing Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Self-consistency;Chain-of-Thoughts;Multi-Step Reasoning;Large Language Models
Decision: Poster
Title: Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Authors: Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, anima anandkumar, Kamyar Azizzadenesheli
Affiliations: University of Alberta, Amii; Mila, McGill University, Google DeepMind; Mila, McGill University; Nvidia; Duke University; California Institute of Technology, Nvidia; University of Alberta, CIFAR AI Chair, Amii
Conference: iclr 2024 (main track)
Keywords: Exploration;Reinforcement Learning;Thompson Sampling;Langevin Monte Carlo;Deep Reinforcement learning
Decision: Poster
Title: Video Decomposition Prior: Editing Videos Layer by Layer
Authors: Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava
Affiliations: University of Maryland, College Park; University of Central Florida
Conference: iclr 2024 (main track)
Keywords: Video decomposition;Test-time optimization technique;Video Relighting;Video Dehazing;Unsupervised Video Object Segmentation;Edits Propagation
Decision: Poster
Title: Graph Lottery Ticket Automated
Authors: Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang
Affiliations: RIKEN AIP; Tongji University; National University of Singapore; Tongji University, The Hong Kong University of Science and Technology (Guangzhou); University of Science and Technology of China (USTC); The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Lottery Ticket Hypothesis;Graph Neural Networks;Graph Neural Tangent Kernel
Decision: Poster
Title: Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Authors: Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel Ni, Heung-Yeung Shum, Jian Guo
Affiliations: Microsoft Research Asia; IDEA Research, International Digital Economy Academy; Xiamen University; University of Southern California; The Hong Kong University of Science and Technology; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Knowledge Graph;Chain-of-Thought;Large Language Models
Decision: Poster
Title: Interpretable Meta-Learning of Physical Systems
Authors: Matthieu Blanke, marc lelarge
Affiliations: Inria Paris, DI ENS, PSL Research University
Conference: iclr 2024 (main track)
Keywords: meta-learning;physical systems;multi-task learning;interpretable deep learning;identifiability;electrostatics;robotics;control;reinforcement learning;scientific discovery
Decision: Poster
Title: PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Authors: Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang
Affiliations: Adobe Research & Stanford; Adobe Research & HKU; Texas A&M University; Adobe Research
Conference: iclr 2024 (main track)
Keywords: Pose estimation;NeRF;3D Reconstruction;Transformer
Decision: Spotlight
Title: Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Authors: Raj Ghugare, Santiago Miret, Adriana Hugessen, mariano Phielipp, Glen Berseth
Affiliations: Universitè de Montréal, Mila - Quebec AI Institute; Intel Labs
Conference: iclr 2024 (main track)
Keywords: chemistry;reinforcement learning;language models
Decision: Poster
Title: Leveraging Uncertainty Estimates To Improve Classifier Performance
Authors: Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi
Affiliations: Amazon
Conference: iclr 2024 (main track)
Keywords: Uncertainty estimation;binary classification;imbalanced classification;score recalibration;uncertainty based decision making;classification decision boundary;bin packing;estimation bias;posterior networks
Decision: Poster
Title: CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
Conference: iclr 2024 (main track)
Keywords: conformer generation;coarse-grained;coarse-graining;3D molecule generation;equivariance;SE(3)-equivariance;ligand;protein-ligand;binding affinity;structure-based drug discovery;variational autoencoder
Decision: Reject
Title: Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Authors: Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu
Affiliations: Beijing Academy of Artificial Intelligence; Yuanpei College, Peking University; School of Computer Science, Peking University
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;pre-training;goal-conditioned RL;open-world environments
Decision: Oral
Title: Manifold Preserving Guided Diffusion
Authors: Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, WeiHsiang Liao, Yuki Mitsufuji, J Kolter, Ruslan Salakhutdinov, Stefano Ermon
Affiliations: Carnegie Mellon University, Sony AI; Sony AI, Sony Group Corporation; Carnegie Mellon University; Sony AI; Stanford University
Conference: iclr 2024 (main track)
Keywords: generative model;diffusion model;controllable generation
Decision: Poster
Title: $\pi$2vec: Policy Representation with Successor Features
Authors: Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil
Affiliations: Istituto Italiano di Tecnologia; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: Policy representation;offline policy selection;robotics;evaluation
Decision: Poster
Title: Sample-Efficient Multi-Agent RL: An Optimization Perspective
Authors: Nuoya Xiong, Zhihan Liu, Zhaoran Wang, Zhuoran Yang
Affiliations: Northwestern University; IIIS, Tsinghua University; Yale University
Conference: iclr 2024 (main track)
Keywords: multi-agent reinforcement learning;theory;general function approximation;general-sum Markov Games
Decision: Poster
Title: MaGIC: Multi-modality Guided Image Completion
Authors: Yongsheng Yu, Hao Wang, Tiejian Luo, Heng Fan, Libo Zhang
Affiliations: Institute of Software, Chinese Academy of Sciences; Department of Computer Science, University of Rochester; School of Computer Science and Technology, University of Chinese Academy of Sciences; Department of Computer Science and Engineering, University of North Texas; School of Computer Science and Technology, University of Chinese Academy of Sciences; Institute of Software, Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Multi-modality;Image Completion;Diffusion Model
Decision: Poster
Title: Adversarial AutoMixup
Authors: Huafeng Qin, Xin Jin, Yun Jiang, Mounîm El-Yacoubi, Xinbo Gao
Affiliations: Chongqing University of Posts and Telecommunications; Chongqing Technology and Business University; Telecom SudParis, Institut Polytechnique de Paris
Conference: iclr 2024 (main track)
Keywords: Data Augmentation;Mixup;Image Classification
Decision: Spotlight
Title: Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
Authors: Frederic Koehler, Thuy-Duong Vuong
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305; Department of Statistics and Data Science Institute, University of Chicago, Chicago, IL 60637
Conference: iclr 2024 (main track)
Keywords: sampling;score matching;contrastive divergence;langevin dynamics
Decision: Poster
Title: Transformer-VQ: Linear-Time Transformers via Vector Quantization
Authors: Lucas D. Lingle
Affiliations: Independent Researcher
Conference: iclr 2024 (main track)
Keywords: Transformer;Transformer Decoder;Decoder-Only Transformer;Natural Language Processing;NLP;Vector Quantization;VQ;K-Means;Clustering;Causal Attention;Autoregressive Attention;Efficient Attention;Linear-Time Attention;Autoregressive Modeling;Generative Modeling;Gated Attention;Compressive Attention;Kernelized Attention;Kernelizable Attention;Hierarchical Attention;Segment-Level Recurrent Attention;Long-Context Modeling;Long-Range Modeling;Long-Range Dependencies;Long-Term Dependencies;Cached Attention;Shift-Equivariant Attention
Decision: Poster
Title: LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Authors: Zeyu Liu, Gourav Datta, Anni Li, Peter Beerel
Affiliations: University of Southern California, Los Angeles, CA, USA
Conference: iclr 2024 (main track)
Keywords: Legendre Memory Unit;Spiking Neural Network;Recurrent Neural Network
Decision: Poster
Title: WebArena: A Realistic Web Environment for Building Autonomous Agents
Authors: Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
Affiliations: Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: language-guided agents; web automation; benchmark
Decision: Poster
Title: RLIF: Interactive Imitation Learning as Reinforcement Learning
Authors: Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine
Affiliations: UC Berkeley; jianlanluo@berkeley.edu; UC Berkeley; perrydong@berkeley.edu; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;imitation learning;online learning
Decision: Poster
Title: Multimodal Molecular Pretraining via Modality Blending
Authors: Qiying Yu, Yudi Zhang, yuyan ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu
Affiliations: Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Harbin Institute of Technology; Institute for AI Industry Research, Tsinghua University; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: multimodal molecular pretraining;molecular representation learning;modality blending
Decision: Poster
Title: DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes
Authors: Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana Davuluri, Han Liu
Affiliations: Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA; Department of Computer Science, Northwestern University, Evanston, IL, USA
Conference: iclr 2024 (main track)
Keywords: DNA;Genome;Language Model;Foundation Model;Benchmark
Decision: Poster