Paper List

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Summary of Transformer Meets Wcdtw to Improve Real-time Battery Bids: a New Approach to Scenario Selection, by Sujal Bhavsar et al.
Summary of Contrastcad: Contrastive Learning-based Representation Learning For Computer-aided Design Models, by Minseop Jung et al.
Summary of Test-time Model Adaptation with Only Forward Passes, by Shuaicheng Niu et al.
Summary of Block-diagonal Guided Dbscan Clustering, by Weibing Zhao
Summary of Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques, by Utsha Roy et al.
Summary of Aetta: Label-free Accuracy Estimation For Test-time Adaptation, by Taeckyung Lee et al.
Summary of From Similarity to Superiority: Channel Clustering For Time Series Forecasting, by Jialin Chen et al.
Summary of The Double-edged Sword Of Input Perturbations to Robust Accurate Fairness, by Xuran Li et al.
Summary of Efficiently Distilling Llms For Edge Applications, by Achintya Kundu et al.
Summary of Llm Attributor: Interactive Visual Attribution For Llm Generation, by Seongmin Lee et al.
Summary of Information Plane Analysis Visualization in Deep Learning Via Transfer Entropy, by Adrian Moldovan et al.
Summary of Prompt-prompted Adaptive Structured Pruning For Efficient Llm Generation, by Harry Dong et al.
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
Summary of Is Model Collapse Inevitable? Breaking the Curse Of Recursion by Accumulating Real and Synthetic Data, By Matthias Gerstgrasser et al.
Summary of Position-aware Parameter Efficient Fine-tuning Approach For Reducing Positional Bias in Llms, by Zheng Zhang et al.
Summary of Convergence Guarantees For Rmsprop and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance, by Qi Zhang et al.
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
Summary of Ts-causalnn: Learning Temporal Causal Relations From Non-linear Non-stationary Time Series Data, by Omar Faruque et al.
Summary of Are Large Language Models Superhuman Chemists?, by Adrian Mirza et al.
Summary of Traveler: a Modular Multi-lmm Agent Framework For Video Question-answering, by Chuyi Shang et al.
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.
Summary of Explainable Ai Integrated Feature Engineering For Wildfire Prediction, by Di Fan et al.
Summary of Can Biases in Imagenet Models Explain Generalization?, by Paul Gavrikov and Janis Keuper
Summary of Novel Node Category Detection Under Subpopulation Shift, by Hsing-huan Chung et al.
Summary of Machine Unlearning For Traditional Models and Large Language Models: a Short Survey, by Yi Xu
Summary of Incorporating Domain Differential Equations Into Graph Convolutional Networks to Lower Generalization Discrepancy, by Yue Sun et al.
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.
Summary of Collaborative Pareto Set Learning in Multiple Multi-objective Optimization Problems, by Chikai Shang et al.
Summary of Feature Splatting: Language-driven Physics-based Scene Synthesis and Editing, by Ri-zhao Qiu et al.
Summary of Mapping the Increasing Use Of Llms in Scientific Papers, by Weixin Liang et al.
Summary of New Logarithmic Step Size For Stochastic Gradient Descent, by M. Soheil Shamaee et al.
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
Summary of Bridging Remote Sensors with Multisensor Geospatial Foundation Models, by Boran Han et al.
Summary of Twin-gpt: Digital Twins For Clinical Trials Via Large Language Model, by Yue Wang et al.
Summary of Measuring Style Similarity in Diffusion Models, by Gowthami Somepalli et al.
Summary of Causalchaos! Dataset For Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes, by Paritosh Parmar et al.
Summary of Nerf-mae: Masked Autoencoders For Self-supervised 3d Representation Learning For Neural Radiance Fields, by Muhammad Zubair Irshad et al.
Summary of Intelligent Learning Rate Distribution to Reduce Catastrophic Forgetting in Transformers, by Philip Kenneweg et al.
Summary of Neuroprune: a Neuro-inspired Topological Sparse Training Algorithm For Large Language Models, by Amit Dhurandhar et al.
Summary of Holo-vqvae: Vq-vae For Phase-only Holograms, by Joohyun Park et al.
Summary of Explaining Large Language Models Decisions Using Shapley Values, by Behnam Mohammadi
Summary of Generative Ai Models For Different Steps in Architectural Design: a Literature Review, by Chengyuan Li et al.
Summary of Augmenting Ner Datasets with Llms: Towards Automated and Refined Annotation, by Yuji Naraki et al.
Summary of Caap: Class-dependent Automatic Data Augmentation Based on Adaptive Policies For Time Series, by Tien-yu Chang et al.
Summary of Token-efficient Leverage Learning in Large Language Models, by Yuanhao Zeng et al.
Summary of Evaluating the Factuality Of Large Language Models Using Large-scale Knowledge Graphs, by Xiaoze Liu et al.
Summary of Instance-aware Group Quantization For Vision Transformers, by Jaehyeon Moon et al.
Summary of Make Continual Learning Stronger Via C-flat, by Ang Bian et al.
Summary of Diffusion-driven Domain Adaptation For Generating 3d Molecules, by Haokai Hong et al.
Summary of Continual Learning For Smart City: a Survey, by Li Yang et al.
Summary of A Survey on Hypergraph Neural Networks: An In-depth and Step-by-step Guide, by Sunwoo Kim et al.
Summary of Can Llms Get Help From Other Llms Without Revealing Private Information?, by Florian Hartmann et al.
Summary of Drag Your Noise: Interactive Point-based Editing Via Diffusion Semantic Propagation, by Haofeng Liu et al.
Summary of A Comparison Of Single- and Double-generator Formalisms For Thermodynamics-informed Neural Networks, by Pau Urdeitx et al.
Summary of Prompt Learning For Oriented Power Transmission Tower Detection in High-resolution Sar Images, by Tianyang Li et al.
Summary of Energy-based Model For Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling, by Cheng Lu et al.
Summary of What Is in Your Safe Data? Identifying Benign Data That Breaks Safety, by Luxi He et al.
Summary of Enhanced Precision in Rainfall Forecasting For Mumbai: Utilizing Physics Informed Convlstm2d Models For Finer Spatial and Temporal Resolution, by Ajay Devda et al.
Summary of Sok: a Review Of Differentially Private Linear Models For High-dimensional Data, by Amol Khanna and Edward Raff and Nathan Inkawhich
Summary of Do Llms Find Human Answers to Fact-driven Questions Perplexing? a Case Study on Reddit, by Parker Seegmiller et al.
Summary of Bem: Balanced and Entropy-based Mix For Long-tailed Semi-supervised Learning, by Hongwei Zheng et al.
Summary of Transfusion: Covariate-shift Robust Transfer Learning For High-dimensional Regression, by Zelin He et al.
Summary of Large-scale Non-convex Stochastic Constrained Distributionally Robust Optimization, by Qi Zhang et al.
Summary of Recover: a Neuro-symbolic Framework For Failure Detection and Recovery, by Cristina Cornelio and Mohammed Diab
Summary of Soar: Improved Indexing For Approximate Nearest Neighbor Search, by Philip Sun et al.
Summary of Pytorch Frame: a Modular Framework For Multi-modal Tabular Learning, by Weihua Hu et al.
Summary of Privacy-preserving Optics For Enhancing Protection in Face De-identification, by Jhon Lopez et al.
Summary of Disentangling Hippocampal Shape Variations: a Study Of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning, by Jakaria Rabbi et al.
Summary of Rehearsal-free Modular and Compositional Continual Learning For Language Models, by Mingyang Wang et al.
Summary of Addressing Loss Of Plasticity and Catastrophic Forgetting in Continual Learning, by Mohamed Elsayed et al.
Summary of Transfer Learning with Point Transformers, by Kartik Gupta and Rahul Vippala and Sahima Srivastava
Summary of On Difficulties Of Attention Factorization Through Shared Memory, by Uladzislau Yorsh et al.
Summary of Heteromile: a Multi-level Graph Representation Learning Framework For Heterogeneous Graphs, by Yue Zhang et al.
Summary of Collaborative Learning Of Anomalies with Privacy (clap) For Unsupervised Video Anomaly Detection: a New Baseline, by Anas Al-lahham et al.
Summary of Ensemble Learning For Vietnamese Scene Text Spotting in Urban Environments, by Hieu Nguyen et al.
Summary of Do Language Models Plan Ahead For Future Tokens?, by Wilson Wu et al.
Summary of Rethinking the Relationship Between Recurrent and Non-recurrent Neural Networks: a Study in Sparsity, by Quincy Hershey et al.
Summary of Predictive Performance Comparison Of Decision Policies Under Confounding, by Luke Guerdan et al.
Summary of Lipsum-ft: Robust Fine-tuning Of Zero-shot Models Using Random Text Guidance, by Giung Nam et al.
Summary of Modeling Output-level Task Relatedness in Multi-task Learning with Feedback Mechanism, by Xiangming Xi et al.
Summary of Interpretable Multi-view Clustering Based on Anchor Graph Tensor Factorization, by Rui Wang et al.
Summary of Metric Learning to Accelerate Convergence Of Operator Splitting Methods For Differentiable Parametric Programming, by Ethan King et al.
Summary of Machine Learning Robustness: a Primer, by Houssem Ben Braiek and Foutse Khomh
Summary of Creating Synthetic Energy Meter Data Using Conditional Diffusion and Building Metadata, by Chun Fu et al.
Summary of Generative Weather For Improved Crop Model Simulations, by Yuji Saikai
Summary of Comparing Bad Apples to Good Oranges: Aligning Large Language Models Via Joint Preference Optimization, by Hritik Bansal et al.
Summary of Solving the Qap by Two-stage Graph Pointer Networks and Reinforcement Learning, By Satoko Iida and Ryota Yasudo
Summary of Convergence Of Continuous Normalizing Flows For Learning Probability Distributions, by Yuan Gao et al.
Summary of Ads: Active Data-sharing For Data Quality Assurance in Advanced Manufacturing Systems, by Yue Zhao et al.
Summary of Automated Bi-fold Weighted Ensemble Algorithms and Its Application to Brain Tumor Detection and Classification, by Potsang B. Huang et al.
Summary of Harnessing the Power Of Large Language Model For Uncertainty Aware Graph Processing, by Zhenyu Qian et al.
Summary of A Multi-branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours, by Aarush Sinha
Summary of Extensive Self-contrast Enables Feedback-free Language Model Alignment, by Xiao Liu et al.
Summary of Hypeboy: Generative Self-supervised Representation Learning on Hypergraphs, by Sunwoo Kim et al.
Summary of Variational Autoencoders For Exteroceptive Perception in Reinforcement Learning-based Collision Avoidance, by Thomas Nakken Larsen et al.
Summary of Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration, by Yibo Wang et al.
Summary of Accelerated Parameter-free Stochastic Optimization, by Itai Kreisler and Maor Ivgi and Oliver Hinder and Yair Carmon
Summary of Observations on Building Rag Systems For Technical Documents, by Sumit Soman et al.
Summary of A General and Efficient Training For Transformer Via Token Expansion, by Wenxuan Huang et al.
Summary of Utilizing Maximum Mean Discrepancy Barycenter For Propagating the Uncertainty Of Value Functions in Reinforcement Learning, by Srinjoy Roy et al.