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Farrukh AliJahid Chowdhury ChotonWilliam H. HsuRobert StewartYihong TheisTimothy TuckerAhsan ZaidiPatrick StingleyUndergrads?Huichen YangStaff?Outside members?Alumni DividerLuis BobadillaLaurie GreenwoldMajed AlsadhanDeepti LambaLei LuoAdedolapo OkanlawonAvishek BoseAdemola OkerindeGeorge Lavezzi
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Paper1History Compression via Language Models in Reinforcement Learning Farrukh MANIQA: Multi-Dimension Attention Network for No-Reference Image Quality Assessment[2304.01203] Optimal Goal-Reaching Reinforcement Learning via Quasimetric LearningLearning an Inverse Rig Mapping for Character AnimationPrompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian LanguagesA Local Explainability Technique for Graph Neural Topic ModelsViTPose: Simple Vision Transformer Baselines for Human Pose EstimationTowards Complex Ontology Alignment using Large Language ModelsImproving Information Extraction by Acquiring External Evidence with Reinforcement LearningA review on feature extraction techniques in Content Based Image RetrievalMoral MachinesClassification of motor vehicle crash injury severity: A hybrid approach for imbalanced dataInvestigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods1. You Only Look Once: Unified, Real-Time Object Detection & YOLOv3: An Incremental Improvement 2. Human Motion Generation via Cross-Space Constrained SamplingHybrid Reward Architecture for Reinforcement LearningIterative Set Expansion of Named Entities Using the WebProgressive Growing of GANs for Improved Quality, Stability, and VariationConvolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images
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Author1Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu YangTongzhou Wang, Antonio Torralba, Phillip Isola, Amy ZhangZheng-Xin YongBharathwajan Rajendran, Chandran G. Vidya, J. SanilYufei Xu, Jing Zhang, Qiming Zhang, Dacheng TaoReihaneh Amini, Sanaz Saki Norouzi, Pascal Hitzler, and Reza AminiDursun Delena, Leman Tomak, Kazim Topuz, Enes EryarsoyRan,Yang,Yang, Zang
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Publication Source1ICML 2022CVPR 2022Proceedings of the 6th Computational Approaches Linguistic Code-SwitchingSpringerNeurIPS 2022)arxivJournal of Transport & HealthSensors 2017
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URL1https://arxiv.org/abs/2205.12258https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Yang_MANIQA_Multi-Dimension_Attention_Network_for_No-Reference_Image_Quality_Assessment_CVPRW_2022_paper.pdfhttps://arxiv.org/abs/2304.01203nhttp://www.ipab.inf.ed.ac.uk/cgvu/rigmapping.pdfhttps://arxiv.org/abs/2303.13592#aHR0cDovL2FyeGl2Lm9yZy9wZGYvMjMwMy4xMzU5MkBAQDA=https://link.springer.com/article/10.1007/s44230-023-00058-8#citeashttps://arxiv.org/abs/2204.12484https://arxiv.org/pdf/2404.10329v1https://arxiv.org/pdf/1603.07954.pdfhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7566544https://reader.elsevier.com/reader/sd/pii/S2214140516302389?token=55DD2B6049B0F041CBC161CA1EFCAC86CADFDCAA26D2B42BD3A49A2FD7A9A2033F4788D384F1C562D7635FA94E538BB7https://arxiv.org/pdf/1506.02640.pdf https://pjreddie.com/media/files/papers/YOLOv3.pdf https://www.ijcai.org/proceedings/2018/0105.pdfhttps://arxiv.org/pdf/1706.04208.pdfhttp://www.rcwang.com/papers/icdm-2008.pdfhttps://www.mdpi.com/1424-8220/17/6/1341
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Paper2DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep LearningHallucinated-IQA: No-Reference Image Quality Assessment via Adversarial LearningSTDeep Robust Kalman Filter Towards Real-World Streaming Speech Translation for Code-Switched SpeechTheory of Mind for Multi-Agent Collaboration via Large Language ModelsA human activity recognition
method based onVision
Transformer
Survey of Vector Database Management SystemsPlease add - WHHLocal higher-Order Graph Clustering[Comp Law]Please add - WHHFew-shot charge prediction with discriminative legal attributesDATA AUGMENTATION GENERATIVE ADVERSARIAL NETWORKSResource Mangement with Deep Reinforcement Learning[Property graph feature analysis in ML: cold start, metawalks]Dynamic Routing Between CapsulesPlease add - WHH
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Author2Kwan-Yee Lin, Guanxiang WangShirli Di-Castro Shashua and Shie MannorBelen Alastruey, Matthias Sperber, Christian Gollan, Dominic Telaar, Tim Ng, Aashish AgarwalHuao Li , Yu Quan Chong , Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia SycaraHuiyan Han, Hongwei Zeng, Liqun Kuang, Xie Han & Hongxin Xue James Jie Pan · Jianguo Wang · Guoliang LiCNN-based text classificationHao YinZikun Hu, Xiang Li, Cunchao Tu, Zhiyuan Liu, Maosong SunHongzi Mao, Mohammed Alizadeh, Ishai Menache, Srikanth Kandula
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Publication Source2Not Published (Only available on Arxiv)CVPR 20182017Proceedings of the 6th Computational Approaches Linguistic Code-SwitchingEMNLPNature-Scientific reportsarxiv - preprintKDD 2018COLING 2018Antreas Antoniou, Amos Storkey, Harrison EdwardsHotNets, 50-56
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URL2https://arxiv.org/abs/1806.07379https://openaccess.thecvf.com/content_cvpr_2018/papers/Lin_Hallucinated-IQA_No-Reference_Image_CVPR_2018_paper.pdfhttps://arxiv.org/pdf/1703.02310.pdfhttps://aclanthology.org/2023.calcs-1.2/https://aclanthology.org/2023.emnlp-main.13/https://www.nature.com/articles/s41598-024-65850-3https://arxiv.org/pdf/2310.14021https://cs.stanford.edu/~jure/pubs/mappr-kdd17.pdfhttps://www.aclweb.org/anthology/C18-1041https://arxiv.org/pdf/1711.04340.pdfhttps://people.csail.mit.edu/alizadeh/papers/deeprm-hotnets16.pdf
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Paper3Reinforcement Learning for Improving Agent DesignRankIQA: Learning From Rankings for No-Reference Image Quality AssessmentLow-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech RecognitionPredicting Animation Skeletons for 3D Articulated Models via Volumetric NetsTOWARDS ZERO-SHOT CODE-SWITCHED SPEECH RECOGNITIONSaliency Map Verbalizztion: Comparing Feature Importance Representations from Model-free and Instruction-based MethodsSkill Reinforcement Learning and Planning for Open-World Long-Horizon TasksPlease add - WHHGraph Classification using Structural AttentionPlease add - WHHImproving neural question generation using answer separation.Please add - WHHMeasuring the Reliability of Reinforcement Learning AlgorithmsPlease add - WHHM2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network | [AAAI' 19]Please add - WHH
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Author3David HaXialei Liu, Joost van de Weijer, Andrew D. BagdanovZhan Xu, Yang Zhou, Evangelos Kalogerakis, Karan SinghBrian Yan, Matthew Wiesner, Ondˇrej Klejch, Preethi Jyothi, Shinji WatanabeNils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Eber, Robert Schwarzenberg, Sebastian MöllerHaoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing LuJohn LeeYanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin JungStephanie C.Y. Chan, Samuel Fishman, John Canny, Anoop Korattikara, Sergio Guadarrama
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Publication Source3NeurIPS 2018 Deep Reinforcement Learning Workshop.
Published in Artificial Life journal
ICCV 20172019 International Conference on 3D Vision (3DV)ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)ACL 2023NeurIPS 2023 Workshop: Foundation Models for Decision MakingKDD 2018AAAI 2019ICLR 2020
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URL3https://arxiv.org/abs/1810.03779https://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_RankIQA_Learning_From_ICCV_2017_paper.pdfhttps://paperswithcode.com/paper/low-rank-adaptation-of-large-language-modelhttps://arxiv.org/pdf/1908.08506.pdfhttps://www.research.ed.ac.uk/files/386836606/Towards_Zero_Shot_YAN_DOA15022023_AFV_CC_BY.pdfhttps://arxiv.org/abs/2210.07222https://arxiv.org/abs/2303.16563http://delivery.acm.org/10.1145/3220000/3219980/p1666-lee.pdf?ip=129.130.10.211&id=3219980&acc=OPENTOC&key=B63ACEF81C6334F5%2E4E35D685407F209B%2E4D4702B0C3E38B35%2E054E54E275136550&__acm__=1549569728_763f95eea6cbee5f49568d6f1059bb9dhttps://www.aaai.org/ojs/index.php/AAAI/article/download/4629/4507https://arxiv.org/pdf/1912.05663.pdf
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Paper4Jointly Learning to Construct and Control Agents using Deep Reinforcement LearningMetaIQA: Deep Meta-Learning for No-Reference Image Quality AssessmentCV: XAI with IQA/VQA (preferably ViT)Visual SLAM for Automated Driving:Exploring the Applications of Deep LearningCode-Switching Speech Synthesis Based on Self-Supervised Learning and Domain Adaptive Speaker EncoderRetrieval-Augmented Generation for
Knowledge-Intensive NLP Tasks
Please add - WHHImproving Question Generation with Sentence-level Semantic Matching and Answer Position InferringPlease add - WHHPlease add - WHHInductive Representation Learning on Large Graphs[RefineDet] Single-Shot Refinement Neural Network for Object Detection | [CVPR' 18] |Please add - WHH
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Author4Charles Schaff, David Yunis, Ayan Chakrabarti, Matthew R. WalterHancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming ShiMilz, S., Arbeiter, G., Witt, C., Abdallah, B., & Yogamani, S.Yi Xing Lin, Cheng Hsun Pai, Phuong Thi Le, Bima Prihasto, Chien Ling Huang, Jia Ching WangPatrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe KielaXiyao Ma; Qile Zhu; Yanlin Zhou; Xiaolin Li
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Publication Source4ICRA 2019CVPR 2020CVPR 2018ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, ProceedingsNeurips 2020AAAI 2020
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URL4https://arxiv.org/abs/1801.01432https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhu_MetaIQA_Deep_Meta-Learning_for_No-Reference_Image_Quality_Assessment_CVPR_2020_paper.pdfhttps://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w9/Milz_Visual_SLAM_for_CVPR_2018_paper.pdfhttps://scholars.ncu.edu.tw/en/publications/code-switching-speech-synthesis-based-on-self-supervised-learninghttps://arxiv.org/abs/2005.11401https://arxiv.org/pdf/1912.00879.pdf
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Paper5Please add - WHHPIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image RestorationRL: XRL for Data Augmentation (preferably IRL/Apprenticeship)Modeling 3D Shapes by Reinforcement LearningAttention-Guided Adaptation for Code-Switching Speech Recognition[RL4CV]Please add - WHHUnsupervised Question Decomposition for Question AnsweringPlease add - WHHPlease add - WHHMasked Graph Convolutional Network[YOLO v3] YOLOv3: An Incremental Improvement | [arXiv' 18]Please add - WHH
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Author5Gu JinjinCheng Lin, Tingxiang Fan, Wenping Wang, and Matthias NießnerBobbi Aditya, Mahdin Rohmatillah, Liang-Hsuan Tai, Jen-Tzung ChienEthan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela
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Publication Source5ECCV 2020ECCV 2020 ICASSP 2024International Conference on Machine Learning 2020
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URL5https://link.springer.com/content/pdf/10.1007/978-3-030-58621-8.pdfhttps://link.springer.com/chapter/10.1007/978-3-030-58607-2_32https://arxiv.org/abs/2312.08856https://rcqa-ws.github.io/papers/paper9.pdf
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Paper6MANIQA: Multi-Dimension Attention Network for No-Reference Image Quality AssessmentOA: Fair EvacA2-RL: Aesthetics Aware Reinforcement Learning for Image CroppingMERLIon CCS Challenge: A English-Mandarin code-switching child-directed speech corpus for language identification and diarization[Current RL topic]How to Ask Better Questions?A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions[Cascade RetinaNet] Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection
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Author6Sidi Yang, Tianhe Wu, Shuwei Shi, Shanshan Lao, Yuan Gong, Mingdeng Cao, Jiahao Wang, Yujiu YangDebang Li, Huikai Wu, Junge Zhang, Kaiqi HuangVictoria Y. H. Chua, Hexin Liu, Leibny Paola Garcia, Fei Ting Woon, Jinyi Wong, Xiangyu Zhang, Sanjeev Khudanpur, Andy W. H. Khong, Justin Dauwels, Suzy J. Styleshttps://arxiv.org/abs/1906.12340Zewei Chu,Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
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Publication Source6CVPR 2022CVPR 2018interspeech 2023https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9857345AAAI 2020
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URL6https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/papers/Yang_MANIQA_Multi-Dimension_Attention_Network_for_No-Reference_Image_Quality_Assessment_CVPRW_2022_paper.pdfhttps://openaccess.thecvf.com/content_cvpr_2018/html/Li_A2-RL_Aesthetics_Aware_CVPR_2018_paper.htmlhttps://www.isca-archive.org/interspeech_2023/chua23_interspeech.htmlhttps://arxiv.org/abs/2103.15691https://arxiv.org/pdf/1911.09247.pdf
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Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video GeneratorsChestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
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AAMAS PAAMSLevon KhachatryanXiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. SummersPlease add from:
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ICMLICCV 2023CVPR 2017 [Vision]ICLR
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NeurIPShttps://openaccess.thecvf.com/content/ICCV2023/papers/Khachatryan_Text2Video-Zero_Text-to-Image_Diffusion_Models_are_Zero-Shot_Video_Generators_ICCV_2023_paper.pdfhttp://openaccess.thecvf.com/content_cvpr_2017/html/Wang_ChestX-ray8_Hospital-Scale_Chest_CVPR_2017_paper.htmlNeurIPS
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ICLR (Deep RL) IROS (bottom) ICLR/RSS (Leave out)Coherent citation-based summarization of scientific papersCVPR
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Amjad Abu-Jbara, Dragomir RadevICML
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HLT 2011 [NLP]AAAI
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https://dl.acm.org/citation.cfm?id=2002536
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A multi-agent system with reinforcement learning agents for biomedical text mining
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Michael Camara, Oliver Bonham-Carter, Janyl Jumadinova
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BCB 2015: 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics [Agents/RL]
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https://dl.acm.org/doi/abs/10.1145/2808719.2812596
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ML/KDD, UMAP/IUI, Cognitive Services
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Maximum Entropy Inverse Reinforcement Learning
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Ziebart et al.
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Anomaly Detection: GANs
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Network science
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Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach | Papers With Code
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https://doi.org/10.1145/3507900
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https://proceedings.mlr.press/v124/tomasi20a.html
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[1909.08593] Fine-Tuning Language Models from Human Preferences
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[2203.02155] Training language models to follow instructions with human feedback
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UNIQUE: Unsupervised Image Quality Estimation | Papers With Code
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Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network | Papers With Code
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A Deep Learning based No-reference Quality Assessment Model for UGC Videos [MM 2022]
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[2303.09290] VDPVE: VQA Dataset for Perceptual Video Enhancement
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DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing
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https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9894371
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OA, ST, NL, CV, RL
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OA: HPC optimization using ML (besides RL), algorithmic fairness
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ST: information trust and LLM grounding (in code gen)
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NL: LLM prompt optmization - RAG, CoT prompting, prompt tuning, LoRA
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CV:
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RL:
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