Paper List
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Summary of Learning to Control Camera Exposure Via Reinforcement Learning, by Kyunghyun Lee et al.
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Summary of Contrastcad: Contrastive Learning-based Representation Learning For Computer-aided Design Models, by Minseop Jung et al.
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Summary of Patch Synthesis For Property Repair Of Deep Neural Networks, by Zhiming Chi et al.
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Summary of Test-time Model Adaptation with Only Forward Passes, by Shuaicheng Niu et al.
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Summary of Generative Ai Models For Different Steps in Architectural Design: a Literature Review, by Chengyuan Li et al.
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Summary of Block-diagonal Guided Dbscan Clustering, by Weibing Zhao
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Summary of From Similarity to Superiority: Channel Clustering For Time Series Forecasting, by Jialin Chen et al.
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Summary of Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques, by Utsha Roy et al.
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Summary of Aetta: Label-free Accuracy Estimation For Test-time Adaptation, by Taeckyung Lee et al.
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Summary of Efficiently Distilling Llms For Edge Applications, by Achintya Kundu et al.
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Summary of The Double-edged Sword Of Input Perturbations to Robust Accurate Fairness, by Xuran Li et al.
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Summary of Llm Attributor: Interactive Visual Attribution For Llm Generation, by Seongmin Lee et al.
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Summary of Information Plane Analysis Visualization in Deep Learning Via Transfer Entropy, by Adrian Moldovan et al.
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Summary of Prompt-prompted Adaptive Structured Pruning For Efficient Llm Generation, by Harry Dong et al.
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Summary of Bigger Is Not Always Better: Scaling Properties Of Latent Diffusion Models, by Kangfu Mei and Zhengzhong Tu and Mauricio Delbracio and Hossein Talebi and Vishal M. Patel and Peyman Milanfar
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Summary of Position-aware Parameter Efficient Fine-tuning Approach For Reducing Positional Bias in Llms, by Zheng Zhang et al.
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Summary of Is Model Collapse Inevitable? Breaking the Curse Of Recursion by Accumulating Real and Synthetic Data, By Matthias Gerstgrasser et al.
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Summary of Convergence Guarantees For Rmsprop and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance, by Qi Zhang et al.
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Summary of Openchemie: An Information Extraction Toolkit For Chemistry Literature, by Vincent Fan and Yujie Qian and Alex Wang and Amber Wang and Connor W. Coley and Regina Barzilay
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Summary of Ts-causalnn: Learning Temporal Causal Relations From Non-linear Non-stationary Time Series Data, by Omar Faruque et al.
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Summary of Are Large Language Models Superhuman Chemists?, by Adrian Mirza et al.
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Summary of Mosquitofusion: a Multiclass Dataset For Real-time Detection Of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning, by Md. Faiyaz Abdullah Sayeedi et al.
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Summary of Traveler: a Modular Multi-lmm Agent Framework For Video Question-answering, by Chuyi Shang et al.
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Summary of Explainable Ai Integrated Feature Engineering For Wildfire Prediction, by Di Fan et al.
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Summary of Large-scale Non-convex Stochastic Constrained Distributionally Robust Optimization, by Qi Zhang et al.
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Summary of Machine Unlearning For Traditional Models and Large Language Models: a Short Survey, by Yi Xu
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Summary of Novel Node Category Detection Under Subpopulation Shift, by Hsing-huan Chung et al.
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Summary of Incorporating Domain Differential Equations Into Graph Convolutional Networks to Lower Generalization Discrepancy, by Yue Sun et al.
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Summary of Towards System Modelling to Support Diseases Data Extraction From the Electronic Health Records For Physicians Research Activities, by Bushra F. Alsaqer et al.
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Summary of Collaborative Pareto Set Learning in Multiple Multi-objective Optimization Problems, by Chikai Shang et al.
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Summary of Feature Splatting: Language-driven Physics-based Scene Synthesis and Editing, by Ri-zhao Qiu et al.
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Summary of Bridging Remote Sensors with Multisensor Geospatial Foundation Models, by Boran Han et al.
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Summary of New Logarithmic Step Size For Stochastic Gradient Descent, by M. Soheil Shamaee et al.
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Summary of Twin-gpt: Digital Twins For Clinical Trials Via Large Language Model, by Yue Wang et al.
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Summary of Mapping the Increasing Use Of Llms in Scientific Papers, by Weixin Liang et al.
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Summary of Measuring Style Similarity in Diffusion Models, by Gowthami Somepalli et al.
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Summary of Evaluating Text-to-visual Generation with Image-to-text Generation, by Zhiqiu Lin and Deepak Pathak and Baiqi Li and Jiayao Li and Xide Xia and Graham Neubig and Pengchuan Zhang and Deva Ramanan
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Summary of Causalchaos! Dataset For Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes, by Paritosh Parmar et al.
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Summary of Nerf-mae: Masked Autoencoders For Self-supervised 3d Representation Learning For Neural Radiance Fields, by Muhammad Zubair Irshad et al.
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Summary of Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers, by Philip Kenneweg et al.
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Summary of Neuroprune: a Neuro-inspired Topological Sparse Training Algorithm For Large Language Models, by Amit Dhurandhar et al.
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Summary of Holo-vqvae: Vq-vae For Phase-only Holograms, by Joohyun Park et al.
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Summary of Explaining Large Language Models Decisions Using Shapley Values, by Behnam Mohammadi
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Summary of Augmenting Ner Datasets with Llms: Towards Automated and Refined Annotation, by Yuji Naraki et al.
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Summary of Do Llms Find Human Answers to Fact-driven Questions Perplexing? a Case Study on Reddit, by Parker Seegmiller et al.
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Summary of Bem: Balanced and Entropy-based Mix For Long-tailed Semi-supervised Learning, by Hongwei Zheng et al.
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Summary of Nearly-tight Approximation Guarantees For the Improving Multi-armed Bandits Problem, by Avrim Blum and Kavya Ravichandran
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Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
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Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
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Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
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Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
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Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
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Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
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Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
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Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
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Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
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Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
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Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
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Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
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Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
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Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
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Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
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Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
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Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
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Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
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Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
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Summary of Unsupervised Solution Operator Learning For Mean-field Games Via Sampling-invariant Parametrizations, by Han Huang et al.