Paper List

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Summary of Datasp: a Differential All-to-all Shortest Path Algorithm For Learning Costs and Predicting Paths with Context, by Alan A. Lahoud et al.
Summary of Fault Identification Enhancement with Reinforcement Learning (fierl), by Valentina Zaccaria et al.
Summary of Health Index Estimation Through Integration Of General Knowledge with Unsupervised Learning, by Kristupas Bajarunas et al.
Summary of Chathuman: Language-driven 3d Human Understanding with Retrieval-augmented Tool Reasoning, by Jing Lin et al.
Summary of Some Variation Of Cobra in Sequential Learning Setup, by Aryan Bhambu et al.
Summary of When Training-free Nas Meets Vision Transformer: a Neural Tangent Kernel Perspective, by Qiqi Zhou et al.
Summary of Learning Label-label Correlations in Extreme Multi-label Classification Via Label Features, by Siddhant Kharbanda et al.
Summary of Difffinger: Advancing Synthetic Fingerprint Generation Through Denoising Diffusion Probabilistic Models, by Freddie Grabovski et al.
Summary of Fast Decentralized Gradient Tracking For Federated Minimax Optimization with Local Updates, by Chris Junchi Li
Summary of Tackling Water Table Depth Modeling Via Machine Learning: From Proxy Observations to Verifiability, by Joseph Janssen et al.
Summary of Pope: Legendre Orthogonal Polynomials Based Position Encoding For Large Language Models, by Arpit Aggarwal
Summary of Integrating Knowledge-guided Symbolic Regression and Model-based Design Of Experiments to Automate Process Flow Diagram Development, by Alexander W. Rogers et al.
Summary of Ai in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple Ct Scan Datasets, by Fakrul Islam Tushar et al.
Summary of Fractal: An Ultra-large-scale Aerial Lidar Dataset For 3d Semantic Segmentation Of Diverse Landscapes, by Charles Gaydon et al.
Summary of Multi-margin Cosine Loss: Proposal and Application in Recommender Systems, by Makbule Gulcin Ozsoy
Summary of Acegen: Reinforcement Learning Of Generative Chemical Agents For Drug Discovery, by Albert Bou et al.
Summary of Proximal Policy Optimization with Adaptive Exploration, by Andrei Lixandru
Summary of Data-driven Error Estimation: Upper Bounding Multiple Errors Without Class Complexity As Input, by Sanath Kumar Krishnamurthy et al.
Summary of Towards a Theoretical Understanding Of the ‘reversal Curse’ Via Training Dynamics, by Hanlin Zhu et al.
Summary of Interpretable Tensor Fusion, by Saurabh Varshneya et al.
Summary of Talc: Time-aligned Captions For Multi-scene Text-to-video Generation, by Hritik Bansal et al.
Summary of Bridging the Bosphorus: Advancing Turkish Large Language Models Through Strategies For Low-resource Language Adaptation and Benchmarking, by Emre Can Acikgoz et al.
Summary of Robust Implementation Of Retrieval-augmented Generation on Edge-based Computing-in-memory Architectures, by Ruiyang Qin et al.
Summary of Uncertainty Quantification Metrics For Deep Regression, by Simon Kristoffersson Lind et al.
Summary of Open Implementation and Study Of Best-rq For Speech Processing, by Ryan Whetten et al.
Summary of The Curse Of Diversity in Ensemble-based Exploration, by Zhixuan Lin et al.
Summary of Revisiting Character-level Adversarial Attacks For Language Models, by Elias Abad Rocamora and Yongtao Wu and Fanghui Liu and Grigorios G. Chrysos and Volkan Cevher
Summary of Towards Stability Of Parameter-free Optimization, by Yijiang Pang et al.
Summary of Efficient Online Set-valued Classification with Bandit Feedback, by Zhou Wang et al.
Summary of Vision Mamba: a Comprehensive Survey and Taxonomy, by Xiao Liu et al.
Summary of Weakly-supervised Residual Evidential Learning For Multi-instance Uncertainty Estimation, by Pei Liu and Luping Ji
Summary of Vattention: Dynamic Memory Management For Serving Llms Without Pagedattention, by Ramya Prabhu et al.
Summary of Optpde: Discovering Novel Integrable Systems Via Ai-human Collaboration, by Subhash Kantamneni et al.
Summary of Super-exponential Regret For Uct, Alphago and Variants, by Laurent Orseau et al.
Summary of A Significantly Better Class Of Activation Functions Than Relu Like Activation Functions, by Mathew Mithra Noel et al.
Summary of Adapting Wavlm For Speech Emotion Recognition, by Daria Diatlova et al.
Summary of Torchdriveenv: a Reinforcement Learning Benchmark For Autonomous Driving with Reactive, Realistic, and Diverse Non-playable Characters, by Jonathan Wilder Lavington et al.
Summary of Toward In-context Teaching: Adapting Examples to Students’ Misconceptions, by Alexis Ross and Jacob Andreas
Summary of Representation Learning Of Daily Movement Data Using Text Encoders, by Alexander Capstick et al.
Summary of Switchable Decision: Dynamic Neural Generation Networks, by Shujian Zhang et al.
Summary of Xlstm: Extended Long Short-term Memory, by Maximilian Beck et al.
Summary of Naturalcodebench: Examining Coding Performance Mismatch on Humaneval and Natural User Prompts, by Shudan Zhang et al.
Summary of Qserve: W4a8kv4 Quantization and System Co-design For Efficient Llm Serving, by Yujun Lin and Haotian Tang and Shang Yang and Zhekai Zhang and Guangxuan Xiao and Chuang Gan and Song Han
Summary of Continual Learning in the Presence Of Repetition, by Hamed Hemati et al.
Summary of Adaptive Least Mean Pth Power Graph Neural Networks, by Yi Yan et al.
Summary of Acceleration Algorithms in Gnns: a Survey, by Lu Ma et al.
Summary of Policy Learning with a Language Bottleneck, by Megha Srivastava et al.
Summary of Refining Joint Text and Source Code Embeddings For Retrieval Task with Parameter-efficient Fine-tuning, by Karim Galliamov et al.
Summary of Ranking-based Client Selection with Imitation Learning For Efficient Federated Learning, by Chunlin Tian et al.
Summary of Geometry and Dynamics Of Layernorm, by Paul M. Riechers
Summary of Multiparameter Regularization and Aggregation in the Context Of Polynomial Functional Regression, by Elke R. Gizewski and Markus Holzleitner and Lukas Mayer-suess and Sergiy Pereverzyev Jr. and Sergei V. Pereverzyev
Summary of Gas Source Localization Using Physics Guided Neural Networks, by Victor Scott Prieto Ruiz et al.
Summary of Opportunities For Machine Learning in Scientific Discovery, by Ricardo Vinuesa et al.
Summary of Fedstale: Leveraging Stale Client Updates in Federated Learning, by Angelo Rodio and Giovanni Neglia
Summary of Sora Detector: a Unified Hallucination Detection For Large Text-to-video Models, by Zhixuan Chu et al.
Summary of Effective and Robust Adversarial Training Against Data and Label Corruptions, by Peng-fei Zhang et al.
Summary of Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks, by Sondre Glimsdal et al.
Summary of Exploring Correlations Of Self-supervised Tasks For Graphs, by Taoran Fang et al.
Summary of Vidu: a Highly Consistent, Dynamic and Skilled Text-to-video Generator with Diffusion Models, by Fan Bao et al.
Summary of Vaeneu: a New Avenue For Vae Application on Probabilistic Forecasting, by Alireza Koochali et al.
Summary of Federated Learning For Collaborative Inference Systems: the Case Of Early Exit Networks, by Caelin Kaplan et al.
Summary of A General Model For Detecting Learner Engagement: Implementation and Evaluation, by Somayeh Malekshahi et al.
Summary of Verified Neural Compressed Sensing, by Rudy Bunel et al.
Summary of Simple Drop-in Lora Conditioning on Attention Layers Will Improve Your Diffusion Model, by Joo Young Choi et al.
Summary of Relating-up: Advancing Graph Neural Networks Through Inter-graph Relationships, by Qi Zou et al.
Summary of Ipfed: Identity Protected Federated Learning For User Authentication, by Yosuke Kaga et al.
Summary of Structure-based Drug Design by Denoising Voxel Grids, By Pedro O. Pinheiro and Arian Jamasb and Omar Mahmood and Vishnu Sresht and Saeed Saremi
Summary of Adsorbdiff: Adsorbate Placement Via Conditional Denoising Diffusion, by Adeesh Kolluru et al.
Summary of Eratta: Extreme Rag For Table to Answers with Large Language Models, by Sohini Roychowdhury et al.
Summary of Swiftrl: Towards Efficient Reinforcement Learning on Real Processing-in-memory Systems, by Kailash Gogineni et al.
Summary of Navigating Chemical Space with Latent Flows, by Guanghao Wei and Yining Huang and Chenru Duan and Yue Song and Yuanqi Du
Summary of Predicting Lung Disease Severity Via Image-based Aqi Analysis Using Deep Learning Techniques, by Anvita Mahajan et al.
Summary of An Improved Finite-time Analysis Of Temporal Difference Learning with Deep Neural Networks, by Zhifa Ke et al.
Summary of A Unified Post-processing Framework For Group Fairness in Classification, by Ruicheng Xian et al.
Summary of Federated Control in Markov Decision Processes, by Hao Jin et al.
Summary of Evaluating Text Summaries Generated by Large Language Models Using Openai’s Gpt, By Hassan Shakil et al.
Summary of Differentially Private Post-processing For Fair Regression, by Ruicheng Xian et al.
Summary of Utilizing Gpt to Enhance Text Summarization: a Strategy to Minimize Hallucinations, by Hassan Shakil et al.
Summary of Generalized Cauchy-schwarz Divergence and Its Deep Learning Applications, by Mingfei Lu et al.
Summary of Wiser: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer, by Kumar Shubham et al.
Summary of Unmasking Illusions: Understanding Human Perception Of Audiovisual Deepfakes, by Ammarah Hashmi et al.
Summary of Binarized Simplicial Convolutional Neural Networks, by Yi Yan et al.
Summary of Esp: Extro-spective Prediction For Long-term Behavior Reasoning in Emergency Scenarios, by Dingrui Wang et al.
Summary of Select to Perfect: Imitating Desired Behavior From Large Multi-agent Data, by Tim Franzmeyer et al.
Summary of Is Relu Adversarially Robust?, by Korn Sooksatra et al.
Summary of Interpretable Data Fusion For Distributed Learning: a Representative Approach Via Gradient Matching, by Mengchen Fan et al.
Summary of On Adversarial Examples For Text Classification by Perturbing Latent Representations, By Korn Sooksatra et al.
Summary of Synthetic Data From Diffusion Models Improve Drug Discovery Prediction, by Bing Hu et al.
Summary of End-to-end Autoencoder For Drill String Acoustic Communications, by Iurii Lezhenin et al.
Summary of Citylearn V2: Energy-flexible, Resilient, Occupant-centric, and Carbon-aware Management Of Grid-interactive Communities, by Kingsley Nweye et al.
Summary of Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples For Deep Learning Models, by Anshuman Chhabra et al.
Summary of Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning, by Aditya A. Ramesh et al.
Summary of Rethinking Data Shapley For Data Selection Tasks: Misleads and Merits, by Jiachen T. Wang et al.
Summary of Out-of-distribution Adaptation in Offline Rl: Counterfactual Reasoning Via Causal Normalizing Flows, by Minjae Cho et al.
Summary of Scalable Amortized Gplvms For Single Cell Transcriptomics Data, by Sarah Zhao et al.
Summary of Transformer Models As An Efficient Replacement For Statistical Test Suites to Evaluate the Quality Of Random Numbers, by Rishabh Goel et al.
Summary of Mvdiff: Scalable and Flexible Multi-view Diffusion For 3d Object Reconstruction From Single-view, by Emmanuelle Bourigault and Pauline Bourigault
Summary of Federated Graph Condensation with Information Bottleneck Principles, by Bo Yan et al.
Summary of Unlearning Backdoor Attacks Through Gradient-based Model Pruning, by Kealan Dunnett et al.
Summary of Kv Cache Is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization, by Tianyi Zhang et al.