hunoutl/paperlists huggingface dataset:
Title: Compositional Generative Inverse Design
Authors: Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec
Affiliations: NEC Laboratories Europe; Dept. of Computer Science, Stanford University; Dept. of Mechanical Engineering, Stanford University; Dept. of Computer Science, MIT; Dept. of Engineering, Westlake University
Conference: iclr 2024 (main track)
Keywords: inverse design;generative design;PDE;physical simulation;compositional
Decision: Spotlight
Title: xCodeEval: An Execution based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: programming-language;code;program-synthesis;automatic-code-repair;code-retrieval;code-translation;code-classification;execution;benchmark;multilingual;multitask;unit-test
Decision: Reject
Title: Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Authors: Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan
Affiliations: College of Computer Science and Technology, Zhejiang University; School of Computer Science and Technology, Dalian University of Technology
Conference: iclr 2024 (main track)
Keywords: Spiking neural networks;excitation inhibition mechanism;Long-Term Potentiation;Long-Term Depression
Decision: Poster
Title: Benchmarking Algorithms for Federated Domain Generalization
Authors: Ruqi Bai, Saurabh Bagchi, David Inouye
Affiliations: Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
Conference: iclr 2024 (main track)
Keywords: federated learning;distributed learning;domain generalization;out-of-distribution generalization;benchmarking;data paritioning.
Decision: Spotlight
Title: On the Effect of Batch Size in Byzantine-Robust Distributed Learning
Authors: Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
Affiliations: National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, Nanjing, China
Conference: iclr 2024 (main track)
Keywords: distributed learning;Byzantine robustness;batch size
Decision: Poster
Title: The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Authors: Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi
Affiliations: University of Washington; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: LLM;alignment;in-context learning;instruction tuning
Decision: Poster
Title: ADOPD: A Large-Scale Document Page Decomposition Dataset
Authors: Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun
Conference: iclr 2024 (main track)
Keywords: Document Understanding;Dataset;Segmentation;Detection;OCR;Captioning
Decision: Poster
Title: PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
Authors: Haopeng Sun, Lumin Xu, Sheng Jin, Ping Luo, Chen Qian, Wentao Liu
Affiliations: The University of Hong Kong; SenseTime Research and Tetras.AI; Department of Computer Science and Technology, Tsinghua University, Beijing, China; Shanghai AI Laboratory; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: test-time adaptation;domain adaptation;domain shift
Decision: Poster
Title: Synaptic Weight Distributions Depend on the Geometry of Plasticity
Authors: Roman Pogodin, Jonathan Cornford, Arna Ghosh, Gauthier Gidel, Guillaume Lajoie, Blake A Richards
Affiliations: McGill & Mila; Université de Montréal & Mila; McGill, Mila & CIFAR
Conference: iclr 2024 (main track)
Keywords: synaptic weight distributions;synaptic plasticity;biologically plausible learning;mirror descent
Decision: Spotlight
Title: Tag2Text: Guiding Vision-Language Model via Image Tagging
Authors: Xinyu Huang, Youcai Zhang, Jinyu Ma, Weiwei Tian, Rui Feng, Yuejie Zhang, Yaqian Li, Yandong Guo, Lei Zhang
Affiliations: Shanghai Key Lab of Intell. Info. Processing, School of Computer Science, Fudan University; OPPO Research Institute; Academy for Engineering and Technology, Fudan University; International Digital Economy Academy (IDEA)
Conference: iclr 2024 (main track)
Keywords: Image Recognition;Vision-Language Pretraining;Image Tagging
Decision: Poster
Title: A Restoration Network as an Implicit Prior
Authors: Yuyang Hu, Mauricio Delbracio, Peyman Milanfar, Ulugbek Kamilov
Affiliations: Washington University in St. Louis, Google Research; Washington University in St. Louis; Google Research
Conference: iclr 2024 (main track)
Keywords: computational imaging;inverse problems;deep learning;plug-and-play priors
Decision: Poster
Title: Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
Authors: yisheng xiao, Zechen Sun, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang
Affiliations: Huawei Cloud, China; Soochow University, China
Conference: iclr 2024 (main track)
Keywords: Instruction tuning;Large language models;BERT family;Natural language generation
Decision: Poster
Title: On the Stability of Expressive Positional Encodings for Graphs
Authors: Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
Affiliations: Purdue University; Tongji University; Georgia Institute of Technology; Peking University; Stanford University; MIT CSAIL
Conference: iclr 2024 (main track)
Keywords: graph neural networks;positional encoding;stability
Decision: Poster
Title: GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
Authors: Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing HONG, Zhenguo Li, Dit-Yan Yeung
Affiliations: Hong Kong University of Science and Technology; Tsinghua University; Huawei Noah’s Ark Lab; Nanjing University
Conference: iclr 2024 (main track)
Keywords: diffusion model;controllable generation;object detection;autonomous driving
Decision: Poster
Title: Score Regularized Policy Optimization through Diffusion Behavior
Authors: Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
Affiliations: Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; Pazhou Laboratory (Huangpu), Guangzhou, Guangdong
Conference: iclr 2024 (main track)
Keywords: offline reinforcement learning;generative models;diffusion models;behavior modeling;computational efficiency
Decision: Poster
Title: Elucidating the Exposure Bias in Diffusion Models
Authors: Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Onal Ertugrul
Affiliations: KU Leuven; Moonshot AI Ltd.; Utrecht University
Conference: iclr 2024 (main track)
Keywords: Generative models;Diffusion models
Decision: Poster
Title: How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
Authors: Nuoya Xiong, Lijun Ding, Simon Du
Affiliations: IIIS, Tsinghua University; Wm Michael Barnes ‘64 Department of Industrial & Systems Engineering, Texas A&M University; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: iclr 2024 (main track)
Keywords: non-convex optimization;random initialization;global convergence;matrix recovery;matrix sensing
Decision: Spotlight
Title: Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Authors: Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
Affiliations: Google
Conference: iclr 2024 (main track)
Keywords: differentially private optimization;stochastic gradient descent;linear regression theory;private deep learning
Decision: Poster
Title: Towards 3D Molecule-Text Interpretation in Language Models
Authors: Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
Affiliations: University of Science and Technology of China; National University of Singapore; Huawei Cloud; Institute of Dataspace, Hefei Comprehensive National Science Center
Conference: iclr 2024 (main track)
Keywords: 3D molecules;Large Language Model;3D-text interpretation
Decision: Poster
Title: Subtractive Mixture Models via Squaring: Representation and Learning
Authors: Lorenzo Loconte, Aleksanteri Sladek, Stefan Mengel, Martin Trapp, Arno Solin, Nicolas Gillis, Antonio Vergari
Affiliations: Department of Mathematics and Operational Research, Université de Mons, Belgium; Department of Computer Science, Aalto University, Finland; University of Artois, CNRS, Centre de Recherche en Informatique de Lens (CRIL), France; School of Informatics, University of Edinburgh, UK
Conference: iclr 2024 (main track)
Keywords: tractable inference;distribution estimation;probabilistic circuits;tensor networks
Decision: Spotlight
Title: Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm
Authors: Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang
Affiliations: National Center for Applied Mathematics Shenzhen, SUSTech, CETC Key Laboratory of Smart City Modeling Simulation and Intelligent Technology, The Smart City Research Institute of CETC; Department of Mathematics and Statistics, UVic; National Center for Applied Mathematics Shenzhen, SUSTech; Department of Mathematics, SUSTech
Conference: iclr 2024 (main track)
Keywords: Bi-level Optimization;Constrained Optimization;Hessian-free;Single-loop;Value Function;Convergence Analysis
Decision: Spotlight
Title: Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
Authors: Wenhan Cao, Wei Pan
Affiliations: Department of Computer Science, University of Manchester; Department of Computer Science, University of Manchester; School of Vehicle and Mobility, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Integral Reinforcement Learning;Bayesian Quadrature;Newton's Method
Decision: Spotlight
Title: SALMON: Self-Alignment with Instructable Reward Models
Authors: Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Cox, Yiming Yang, Chuang Gan
Affiliations: MIT-IBM Watson AI Lab, UMass Amherst; Language Technologies Institute, CMU; MIT-IBM Watson AI Lab, IBM Research; UMass Amherst
Conference: iclr 2024 (main track)
Keywords: AI Alignment;Large Language Models;Scalable Oversight
Decision: Poster
Title: Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Authors: Xue JIANG, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
Affiliations: TMLR Group, University of Melbourne; TMLR Group, Hong Kong Baptist University; Southern University of Science and Technology; University of Technology Sydney; Huazhong Agricultural University; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: OOD detection
Decision: Spotlight
Title: Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Authors: Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
Affiliations: Georgia Institute of Technology; University of California, Berkeley; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: Attention steering;Post-hoc;Contextual emphasizing
Decision: Poster
Title: Learning to design protein-protein interactions with enhanced generalization
Authors: Anton Bushuiev, Roman Bushuiev, Petr Kouba, Anatolii Filkin, Markéta Gabrielová, Michal Gabriel, Jiri Sedlar, Tomas Pluskal, Jiri Damborsky, Stanislav Mazurenko, Josef Sivic
Affiliations: Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University; Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences; Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Masaryk University; International Clinical Research Center, St. Anne’s University Hospital Brno
Conference: iclr 2024 (main track)
Keywords: protein-protein interactions;protein design;generalization;self-supervised learning;equivariant 3D representations
Decision: Poster
Title: Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Authors: Alexandru Meterez, Amir Joudaki, Francesco Orabona, Alexander Immer, Gunnar Ratsch, Hadi Daneshmand
Affiliations: MIT LIDS/Boston University; D-INFK, ETH Zürich; CEMSE, KAUST
Conference: iclr 2024 (main track)
Keywords: mlp;batch-normalization;optimization;depth;calculus;theory;deep-learning;non-asymptotic
Decision: Poster
Title: Robust Model-Based Optimization for Challenging Fitness Landscapes
Authors: Saba Ghaffari, Ehsan Saleh, Alex Schwing, Yu-Xiong Wang, Martin Burke, Saurabh Sinha
Affiliations: University of Illinois Urbana-Champaign; Georgia Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Model based optimization;protein engineering
Decision: Poster
Title: On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
Authors: Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, sylvain lamprier, Marcin Detyniecki
Affiliations: Stanford University; LERIA, Université d’Angers, France; TRAIL, Sorbonne Université, Paris, France; AXA Group Operations
Conference: iclr 2024 (main track)
Keywords: Fairness;DRO;Adversarial Learning
Decision: Poster
Title: Teaching Language Models to Hallucinate Less with Synthetic Tasks
Authors: Erik Jones, Hamid Palangi, Clarisse Ribeiro, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed H Awadallah, Ece Kamar
Affiliations: Hippocratic AI; UIUC; Microsoft Research; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: hallucination;large language models;synthetic data;prefix tuning;safety
Decision: Poster
Title: Inherently Interpretable Time Series Classification via Multiple Instance Learning
Authors: Joseph Early, Gavin Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey
Affiliations: Amazon Prime Video, UK; University of Southampton, UK – work completed during an internship at Amazon Prime Video, UK
Conference: iclr 2024 (main track)
Keywords: Multiple Instance Learning;Time Series Classification;Interpretability
Decision: Spotlight
Title: FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
Authors: Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sang bae Kim
Affiliations: Department of Mechanical Engineering, Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: latent dynamics;motion representation and generation;representation learning;reinforcement learning
Decision: Spotlight
Title: Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Authors: Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
Affiliations: University of Massachusetts Amherst; FAIR, Meta AI; The University of Texas at Austin; The University of Texas at Austin, FAIR, Meta AI
Conference: iclr 2024 (main track)
Keywords: Robot Learning;Offline Imitation Learning;Offline Reinforcement Learning;Deep Reinforcement Learning
Decision: Spotlight
Title: TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
Authors: Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Nicolas Chapados, Alexandre Drouin
Affiliations: ServiceNow Research; ServiceNow Research, Mila-Quebec AI Institute, Universit´e de Montr´eal; ServiceNow Research, Mila-Quebec AI Institute
Conference: iclr 2024 (main track)
Keywords: time series;forecasting;probabilistic;multivariate;copula;transformer;density estimation
Decision: Poster
Title: ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Authors: Yogesh Verma, Markus Heinonen, Vikas Garg
Affiliations: YaiYai Ltd and Aalto University; Department of Computer Science, Aalto University, Finland
Conference: iclr 2024 (main track)
Keywords: neural ODE;time-series forecasting;climate prediction;physics-informed ML
Decision: Oral
Title: Threaten Spiking Neural Networks through Combining Rate and Temporal Information
Authors: Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu, Tiejun Huang
Affiliations: School of Computer Science, Peking University
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Networks;Rate and Temporal Information;Hybrid Adversarial Attack
Decision: Poster
Title: LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Authors: Han Guo, Philip Greengard, Eric Xing, Yoon Kim
Affiliations: Carnegie Mellon University, Mohamed bin Zayed University of Artificial Intelligence, Petuum Inc.; Carnegie Mellon University; Massachusetts Institute of Technology; Columbia University
Conference: iclr 2024 (main track)
Keywords: Low-rank plus Quantized Matrix Decomposition;Efficient Language Model Finetuning
Decision: Poster
Title: Retrieval meets Long Context Large Language Models
Authors: Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
Affiliations: NVIDIA
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Long Context Window;Retrieval
Decision: Poster
Title: Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Authors: Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Schäfer, Georg Martius, Anna Levina
Affiliations: University of Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; University of Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2024 (main track)
Keywords: timescales;recurrent neural networks;memory tasks;curriculum learning
Decision: Poster
Title: Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Authors: Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Affiliations: Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Germany; Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Germany and Institute of Mathematics, Technische Universit¨at Berlin, Germany
Conference: iclr 2024 (main track)
Keywords: pruning;retraining;model averaging;neural networks
Decision: Poster
Title: Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
Authors: Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar
Affiliations: EPFL; EPFL and CHUV; CHUV
Conference: iclr 2024 (main track)
Keywords: test-time adaptation;batch normalization;distribution shift
Decision: Poster
Title: DreamLLM: Synergistic Multimodal Comprehension and Creation
Authors: Runpei Dong, chunrui han, Yuang Peng, Zekun Qi, Zheng Ge, Jinrong Yang, Liang Zhao, Jianjian Sun, Hongyu Zhou, Haoran Wei, Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, Li Yi
Affiliations: Xi’an Jiaotong University; HUST; MEGVII Technology; Tsinghua University; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Multimodal Large Language Models;Large Language Models;Generative Models;Vision Language;Representation Learning;GPT
Decision: Spotlight
Title: Is Self-Repair a Silver Bullet for Code Generation?
Authors: Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
Affiliations: MIT CSAIL; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: program synthesis;code generation;large language models;machine learning for code
Decision: Poster
Title: PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Authors: Jingyu Chen, Runlin Lei, Zhewei Wei
Affiliations: Renmin University of China
Conference: iclr 2024 (main track)
Keywords: Graph Contrastive Learning;Spectral Graph Neural Networks;Polynomial Filter;Heterophilic Graph Representation Learning
Decision: Spotlight
Title: AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Authors: Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan
Affiliations: National University of Singapore; ByteDance
Conference: iclr 2024 (main track)
Keywords: Diffusion Probabilistic Model;Neural ODE;Adjoint Sensitivity Method
Decision: Poster
Title: Bandits with Replenishable Knapsacks: the Best of both Worlds
Authors: Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
Affiliations: Politecnico di Milano; Bocconi University; Sapienza University
Conference: iclr 2024 (main track)
Keywords: online learning;bandits with knapsack;best-of-both-worlds
Decision: Poster
Title: Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Authors: Shida Wang, Zhong Li, Qianxiao Li
Affiliations: Microsoft Research Asia; Department of Mathematics, Institute for Functional Intelligent Materials, National University of Singapore; Department of Mathematics, National University of Singapore
Conference: iclr 2024 (main track)
Keywords: Recurrent neural networks;sequence modelling;approximation theory
Decision: Spotlight
Title: Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Authors: Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand Sarwate, Tony Chiang
Affiliations: Pacific Northwest National Laboratory; Rutgers University; Courant Institute, NYU; University of Washington and University of Texas, El Paso; University of California, San Diego
Conference: iclr 2024 (main track)
Keywords: Explainability;Surrogate Models;Neural Tangent Kernel;Deep Learning;Attribution
Decision: Spotlight
Title: MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Authors: Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
Affiliations: The Ohio State University; 01.AI; University of Edinburgh; University of Waterloo
Conference: iclr 2024 (main track)
Keywords: Math Reasoning;Instruction Tuning;Large Language Model
Decision: Spotlight
Title: Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation
Authors: Tserendorj Adiya, Jae Shin Yoon, Jung Eun Lee, Sanghun Kim, Hwasup Lim
Affiliations: AI Center, CJ Corporation; Adobe; Korea Institute of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Human Motion Transfer;Diffusion Model;Human Animation;Generative model.
Decision: Poster
Title: Conversational Drug Editing Using Retrieval and Domain Feedback
Authors: Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
Affiliations: University of Wisconsin-Madison; University of Illinois Urbana-Champaign; Princeton University; University of California, Berkeley; University of Ottawa; National Research Council Canada; Arizona State University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;prompt;retrieval;domain feedback;conversation;drug editing;drug optimization;controllable generation;small molecule;peptide;protein
Decision: Poster
Title: Sparse MoE with Language Guided Routing for Multilingual Machine Translation
Authors: Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
Affiliations: MIT and Harvard University; The University of North Carolina at Chapel Hill; The University of Texas at Austin; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Sparse Mixture-of-Experts;Multilingual Machine Translation;Language Guided Routing
Decision: Poster
Title: ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Authors: Kim-Celine Kahl, Carsten Lüth, Maximilian Zenk, Klaus Maier-Hein, Paul F. Jaeger
Affiliations: German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany; German Cancer Research Center (DKFZ) Heidelberg, Interactive Machine Learning Group, Germany; Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
Conference: iclr 2024 (main track)
Keywords: uncertainty;segmentation;validation
Decision: Oral