hunoutl/paperlists huggingface dataset:
Title: Structural Fairness-aware Active Learning for Graph Neural Networks
Authors: Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
Affiliations: North Carolina State University; Shanghai Jiaotong University; Michigan State University; Amazon; Okinawa Institute of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Active Learning;Graph Neural Networks;Structural Fairness
Decision: Poster
Title: Sharpness-Aware Data Poisoning Attack
Authors: Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu Aggarwal, Jiliang Tang
Affiliations: IBM T. J. Watson Research Center, New York; Department of Computer Science and Engineering, Michigan State University
Conference: iclr 2024 (main track)
Keywords: Data poisoning attack; generalization; deep learning
Decision: Spotlight
Title: AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Authors: Zibin Dong, Yifu Yuan, Jianye HAO, Fei Ni, Yao Mu, YAN ZHENG, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
Affiliations: The University of Hong Kong; College of Intelligence and Computing, Tianjin University; Fuxi AI Lab, Netease, Inc., Hangzhou, China
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning; Diffusion models; RLHF; Preference aligning
Decision: Poster
Title: Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Authors: Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork
Affiliations: IT University of Copenhagen, Denmark; Orebro University, Sweden
Conference: iclr 2024 (main track)
Keywords: Multi-Objective Reinforcement Learning;Lexicographic Task Priorities;Constrained RL;Transfer RL
Decision: Poster
Title: Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
Authors: Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya, Homer Walke, Chelsea Finn, Aviral Kumar, Sergey Levine
Affiliations: Stanford University; University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: robot learning;diffusion model
Decision: Poster
Title: The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
Authors: Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang, Linjie Xing, Zhe Chen, Hao Li, Xizhou Zhu, Zhiguo Cao, Yushi Chen, Tong Lu, Jifeng Dai, Yu Qiao
Affiliations: OpenGVLab, Shanghai AI Laboratory; Fudan University; OpenGVLab, Shanghai AI Laboratory; The Chinese University of Hong Kong; OpenGVLab, Shanghai AI Laboratory; Tsinghua University; OpenGVLab, Shanghai AI Laboratory; OpenGVLab, Shanghai AI Laboratory; SenseTime Research; OpenGVLab, Shanghai AI Laboratory; Huazhong University of Science and Technology; OpenGVLab, Shanghai AI Laboratory; Nanjing University; OpenGVLab, Shanghai AI Laboratory; Harbin Institute of Technology; Nanjing University; Huazhong University of Science and Technology; Harbin Institute of Technology
Conference: iclr 2024 (main track)
Keywords: vision-language;open-world;region-text;object recognition
Decision: Poster
Title: GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings
Authors: Jingyun Xiao, Ran Liu, Eva Dyer
Affiliations: Machine Learning Center, Georgia Institute of Technology, Atlanta, GA, 30332; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332
Conference: iclr 2024 (main track)
Keywords: Time-series;Transformer;Spatiotemporal
Decision: Poster
Title: Democratizing Fine-grained Visual Recognition with Large Language Models
Authors: Mingxuan Liu, Subhankar Roy, Wenjing Li, Zhun Zhong, Nicu Sebe, Elisa Ricci
Affiliations: University of Aberdeen, Aberdeen, UK; University of Nottingham, Nottingham, UK; University of Trento, Trento, Italy; Hefei University of Technology, Hefei, China; Fondazione Bruno Kessler, Trento, Italy
Conference: iclr 2024 (main track)
Keywords: Vision-Language Models;Large Language Models;Prompting;Multimodal;Fine-grained Visual Recognition
Decision: Poster
Title: Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
Authors: Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z Li
Affiliations: Westlake University, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Multi-tasking learning;Graph Neural Networks;AutoML
Decision: Poster
Title: Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Authors: Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
Affiliations: MMLab, The Chinese University of Hong Kong; MMLab, The Chinese University of Hong Kong; Shanghai Artificial Intelligence Laboratory; Tufts University; City University of Hong Kong; CSUST
Conference: iclr 2024 (main track)
Keywords: mathematical reasoning;large language models;zero-shot learning;code generation;prompting
Decision: Poster
Title: BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
Authors: Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
Affiliations: University of Illinois Urbana-Champaign; University of Washington; Western Washington University
Conference: iclr 2024 (main track)
Keywords: large language model;chain-of-thought;backdoor attack;reasoning task
Decision: Poster
Title: Enhancing Neural Training via a Correlated Dynamics Model
Authors: Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
Affiliations: Technion – Israel Institute of Technology; Ariel University
Conference: iclr 2024 (main track)
Keywords: dynamics modeling;training analysis;low dimensional model for training
Decision: Poster
Title: Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Authors: Ilmin Kang, HyounYoung Bae, Kangil Kim
Affiliations: AI Graduate School, GIST, Republic of Korea; AI Graduate School, GIST†, Republic of Korea
Conference: iclr 2024 (main track)
Keywords: Representation Learning;Output-Domain Focused Inductive Bias;Classification
Decision: Poster
Title: Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Authors: Yuan Gao, WEIZHONG ZHANG, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma
Conference: iclr 2024 (main track)
Keywords: Auxiliary Learning; Neural Architecture Search; Soft Parameter Sharing; Multi-Task Learning; Single Task Inference Cost
Decision: Poster
Title: ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
Authors: Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
Conference: iclr 2024 (main track)
Keywords: self-supervised representation learning; image recognition; image generation; Masked Image Modeling
Decision: Poster
Title: Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
Authors: Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
Conference: iclr 2024 (main track)
Keywords: XAI;XAI Evaluation;Backdoor Watermark;Backdoor Attack;Backdoor for Positive Purposes
Decision: Poster
Title: Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
Authors: Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
Conference: iclr 2024 (main track)
Keywords: large language model;knowledge grounding
Decision: Poster
Title: GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
Authors: Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel Fernandes, Nicholas Kasman, Irina Gaynanova
Conference: iclr 2024 (main track)
Keywords: diabetes management;continuous glucose monitors (CGM);glucose trajectory prediction;artificial pancreas systems;public datasets;standardized tasks;benchmark models;glycemic control
Decision: Poster
Title: Uncertainty Quantification via Stable Distribution Propagation
Authors: Felix Petersen, Aashwin Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen, Mikhail Yurochkin
Conference: iclr 2024 (main track)
Keywords: propagating distributions;uncertainty;uncertainties;aleatoric;epistemic;moment matching;total variation;sampling-free;deterministic;variational inference;propagation;probabilistic neural networks;variance propagation;Cauchy;Cauchy distribution;Gaussian;analytical;data uncertainty;alpha stable
Decision: Poster
Title: Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
Authors: Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail Kaiser, Suman Jana, Baishakhi Ray
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Code Generation;Code Summarization;LLM Evaluation;Self-Consistency
Decision: Poster
Title: Diffusion Models for Multi-Task Generative Modeling
Authors: Changyou Chen, Han Ding, Bunyamin Sisman, Yi Xu, Ouye Xie, Benjamin Yao, son tran, Belinda Zeng
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Multi-Task Multi-Modal Learning;Generative Models
Decision: Poster
Title: Robust NAS under adversarial training: benchmark, theory, and beyond
Authors: Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
Affiliations: Mirelo AI; University of Wisconsin-Madison; University of Warwick; LIONS, EPFL
Conference: iclr 2024 (main track)
Keywords: neural architecture search;robustness;benchmark;generalization theory
Decision: Poster
Title: Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Authors: Yuchen Hu, CHEN CHEN, Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Ensiong Chng
Affiliations: IBM Research; University of Aberdeen; Georgia Institute of Technology, NVIDIA Research; Tsinghua University; Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: Large language models;automatic speech recognition;generative error correction;noise-robustness
Decision: Spotlight
Title: Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
Authors: Omer Nahum, Gali Noti, David Parkes, Nir Rosenfeld
Affiliations: Technion DDS; Cornell CSD; Harvard SEAS; Technion CS
Conference: iclr 2024 (main track)
Keywords: congestion;decongestion;online marketplaces;learning in economic settings;efficient allocation
Decision: Poster
Title: End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
Authors: Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf
Affiliations: Naver Labs Europe Meylan, France
Conference: iclr 2024 (main track)
Keywords: Navigation;Embodied AI;Perception
Decision: Poster
Title: Generalized Policy Iteration using Tensor Approximation for Hybrid Control
Authors: Suhan Shetty, Teng Xue, Sylvain Calinon
Affiliations: Idiap Research Institute, Martigny, Switzerland and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Conference: iclr 2024 (main track)
Keywords: Optimal Control;Hybrid Actions;Robotics;Approximate Dynamic Programming;Tensor Approximation
Decision: Spotlight
Title: Procedural Fairness Through Decoupling Objectionable Data Generating Components
Authors: Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
Affiliations: Computer Science and Engineering Department, University of California, Santa Cruz; Computer Science and Engineering Department, University of California, Santa Cruz; ByteDance Research; Department of Philosophy, Carnegie Mellon University; Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence; Department of Philosophy, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Procedural Fairness;Decouple Objectionable Component;Reference Point;Causal Fairness;Data Generating Process;Bias Mitigation
Decision: Spotlight
Title: LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
Authors: Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Hongsheng Li, Gao Peng, Yu Qiao
Affiliations: University of California, Los Angeles; CUHK MMLab; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Large Language Model (LLM);instruction tuning;multi-modality learning
Decision: Poster
Title: Spurious Feature Diversification Improves Out-of-distribution Generalization
Authors: LIN Yong, Lu Tan, Yifan HAO, Honam Wong, Hanze Dong, WEIZHONG ZHANG, Yujiu Yang, Tong Zhang
Affiliations: University of Illinois Urbana-Champaign; The Hong Kong University of Science and Technology; Fudan University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Out-of-distribution generalization
Decision: Poster
Title: Energy-guided Entropic Neural Optimal Transport
Authors: Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Artificial Intelligence Research Institute, Moscow, Russia
Conference: iclr 2024 (main track)
Keywords: energy-based model;generative model;optimal transport;entropic optimal transport;general optimal transport cost function
Decision: Poster
Title: Small-scale proxies for large-scale Transformer training instabilities
Authors: Mitchell Wortsman, Peter Liu, Lechao Xiao, Katie Everett, Alexander Alemi, Ben Adlam, John Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
Affiliations: Anthropic; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: Small Transformers;Training;Stability
Decision: Oral
Title: Tool-Augmented Reward Modeling
Authors: Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, hua wu
Affiliations: Zhejiang University; Baidu Inc.
Conference: iclr 2024 (main track)
Keywords: Reward Model;Large Language Model;Tool Learning;Augmented Language Model
Decision: Spotlight
Title: Learning to Reject with a Fixed Predictor: Application to Decontextualization
Authors: Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
Affiliations: Stanford University; Google; Courant Institute; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: Rejection;abstention;loss function;consistency;learning theory;decontextualization;natural language processing
Decision: Poster
Title: PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
Authors: Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena Hwang, Xiang Lorraine Li, Hirona Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi
Affiliations: Tohoku University; University of Washington; University of Southern California; University of Pittsburg; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: language-based planning;procedural/script knowledge;distillation;large language models;decoding-time algorithm
Decision: Poster
Title: GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
Authors: Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang
Affiliations: MIT CSAIL; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: Joint shape matching;shape generator;implicit representation;geometric regularization
Decision: Poster
Title: ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Authors: Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, xiangru tan h, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, dahai li, Zhiyuan Liu, Maosong Sun
Affiliations: WeChat AI, Tencent Inc.; Yale University; Tsinghua University; ModelBest Inc.; Renmin University of China
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Tool Use;API Use
Decision: Spotlight
Title: Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Authors: Hritik Bansal, John Dang, Aditya Grover
Affiliations: Department of Computer Science, University of California Los Angeles
Conference: iclr 2024 (main track)
Keywords: LLMs;Sparse Feedback;Ratings;Rankings;Inconsistency;Evaluation
Decision: Poster
Title: Prompt Learning with Quaternion Networks
Authors: Boya Shi, Zhengqin Xu, Shuai Jia, Chao Ma
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; National Innovation Institute of Defense Technology
Conference: iclr 2024 (main track)
Keywords: Prompt Learning;Quaternion Networks;Multimodal;Feature Fusion;Zero-Shot.
Decision: Poster
Title: Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Authors: Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, Soheil Feizi
Affiliations: Department of Computer Science, University of Maryland
Conference: iclr 2024 (main track)
Keywords: ai-image detection;image watermark;deepfake detection;watermark attack;generative models
Decision: Poster
Title: Topological data analysis on noisy quantum computers
Authors: Ismail Akhalwaya, Shashanka Ubaru, Kenneth Clarkson, Mark Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Affiliations: IBM Research, USA and South Africa; Royal Institution, UK; University of the Witwatersrand, South Africa
Conference: iclr 2024 (main track)
Keywords: Topological data analysis;quantum computing;unsupervised learning;feature extraction
Decision: Oral
Title: Dual-Encoders for Extreme Multi-label Classification
Authors: Nilesh Gupta, Fnu Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit Dhillon
Affiliations: ‡Google Research; †The University of Texas at Austin⋄Google
Conference: iclr 2024 (main track)
Keywords: retrieval;dense retrieval;dual encoders;extreme multi-label classification
Decision: Poster
Title: Closing the Curious Case of Neural Text Degeneration
Authors: Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Affiliations: Stanford University; The Allen Institute for AI; University of Southern California; Saarland University
Conference: iclr 2024 (main track)
Keywords: softmax;bottleneck;truncation;sampling;nucleus;top-k;theory;linear programming;linear algebra;decoding;generation;autoregressive;language model;NLP;open-ended generation
Decision: Poster
Title: Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Authors: Erik Bekkers, Sharvaree Vadgama, Rob Hesselink, Putri van der Linden, David Wilson Romero
Affiliations: Vrije Universiteit Amsterdam, NVIDIA Research; University of Amsterdam
Conference: iclr 2024 (main track)
Keywords: Equivariance;Point Clouds;Message Passing Neural Network;Molecules;Diffusion Model
Decision: Poster
Title: Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Authors: Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, anima anandkumar
Affiliations: KAIST; Caltech; NVIDIA Corporation; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: video generation;diffusion models
Decision: Poster
Title: Generative Human Motion Stylization in Latent Space
Authors: chuan guo, Yuxuan Mu, Xinxin Zuo, Peng Dai, Youliang Yan, Juwei Lu, Li Cheng
Affiliations: Noah’s Ark Lab, Huawei Canada; University of Alberta
Conference: iclr 2024 (main track)
Keywords: Human Motion Generation;Style Transfer;Generative Model
Decision: Poster
Title: Reward Model Ensembles Help Mitigate Overoptimization
Authors: Thomas Coste, Usman Anwar, Robert Kirk, David Krueger
Affiliations: University of Cambridge; University College London
Conference: iclr 2024 (main track)
Keywords: ensembles;overoptimization;RLHF;reinforcement learning from human feedback;language models;uncertainty weighted optimization
Decision: Poster
Title: Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
Authors: Anthony Bardou, Patrick Thiran, Thomas Begin
Affiliations: ENS Lyon, UCBL, CNRS, LIP, Lyon, France; IC, EPFL, Lausanne, Switzerland
Conference: iclr 2024 (main track)
Keywords: Bayesian Optimization;Online Learning;Black-box Optimization
Decision: Poster
Title: Decoding Natural Images from EEG for Object Recognition
Authors: Yonghao Song, Bingchuan Liu, Xiang Li, Nanlin Shi, Yijun Wang, Xiaorong Gao
Affiliations: Institute of Semiconductors, CAS; Department of Biomedical Engineering, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: EEG;object recognition;contrastive learning;brain-computer interface
Decision: Poster
Title: SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Authors: Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach
Affiliations: Not provided
Conference: iclr 2024 (main track)
Keywords: Image Synthesis;Diffusion;Generative AI
Decision: Spotlight
Title: Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
Authors: Haitz Sáez de Ocáriz Borde, Anastasis Kratsios
Affiliations: University of Oxford, Oxford, UK; Department of Mathematics, McMaster University and the Vector Institute, Ontario, Canada
Conference: iclr 2024 (main track)
Keywords: Latent Graph Inference;Representation Learning;Metric Embedding;Geometric Deep Learning;Graph Neural Networks
Decision: Poster
Title: Retro-fallback: retrosynthetic planning in an uncertain world
Authors: Austin Tripp, Krzysztof Maziarz, Sarah Lewis, Marwin Segler, José Miguel Hernández Lobato
Affiliations: Microsoft Research AI4Science; University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Retrosynthesis;planning;chemistry;search
Decision: Poster
Title: Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Authors: Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Affiliations: Seeing Machines Ltd; The Australian National University
Conference: iclr 2024 (main track)
Keywords: feature shaping;out-of-distribution detection;optimization problem;generalizability
Decision: Poster
Title: SemiReward: A General Reward Model for Semi-supervised Learning
Authors: Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z Li
Affiliations: Zhejiang University, College of Computer Science and Technology; AI Lab, Research Center for Industries of the Future, Hangzhou, China; AI Lab, Research Center for Industries of the Future, Hangzhou, China; Westlake University
Conference: iclr 2024 (main track)
Keywords: Semi-supervised Learning;Reward Model;Representation Learning
Decision: Poster
Title: Periodicity Decoupling Framework for Long-term Series Forecasting
Authors: Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia
Affiliations: College of Computer Science and Software Engineering, Shenzhen University, China; National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, China; WeBank Institute of Financial Technology, Shenzhen University, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China; College of Computer Science and Software Engineering, Shenzhen University, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China; College of Computer Science and Software Engineering, Shenzhen University, China
Conference: iclr 2024 (main track)
Keywords: Long-term time series forecasting;Transformer;CNN
Decision: Poster
Title: Object-Aware Inversion and Reassembly for Image Editing
Authors: Zhen Yang, Ganggui Ding, Wen Wang, Hao Chen, Bohan Zhuang, Chunhua Shen
Affiliations: Monash University, Australia; Zhejiang University, China
Conference: iclr 2024 (main track)
Keywords: Image editing;Diffusion model
Decision: Poster
Title: HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Authors: Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li, Dahua Lin, Xihui Liu, Ziwei Liu, Sergey Tulyakov
Conference: iclr 2024 (main track)
Keywords: Human Image Generation;Latent Structural Diffusion
Decision: Poster