Paper List

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Summary of Visually Robust Adversarial Imitation Learning From Videos with Contrastive Learning, by Vittorio Giammarino et al.
Summary of Agentpoison: Red-teaming Llm Agents Via Poisoning Memory or Knowledge Bases, by Zhaorun Chen et al.
Summary of Pqcache: Product Quantization-based Kvcache For Long Context Llm Inference, by Hailin Zhang et al.
Summary of Deep Learning-based Sentiment Analysis Of Olympics Tweets, by Indranil Bandyopadhyay et al.
Summary of Private and Federated Stochastic Convex Optimization: Efficient Strategies For Centralized Systems, by Roie Reshef and Kfir Y. Levy
Summary of A Practical Solver For Scalar Data Topological Simplification, by Mohamed Kissi et al.
Summary of Mamba-ptq: Outlier Channels in Recurrent Large Language Models, by Alessandro Pierro et al.
Summary of Geometric Remove-and-retrain (goar): Coordinate-invariant Explainable Ai Assessment, by Yong-hyun Park et al.
Summary of Analyzing the Generalization and Reliability Of Steering Vectors, by Daniel Tan et al.
Summary of Proximity-based Self-federated Learning, by Davide Domini et al.
Summary of Not All Frequencies Are Created Equal:towards a Dynamic Fusion Of Frequencies in Time-series Forecasting, by Xingyu Zhang et al.
Summary of Dirac–bianconi Graph Neural Networks — Enabling Non-diffusive Long-range Graph Predictions, by Christian Nauck et al.
Summary of Safepowergraph: Safety-aware Evaluation Of Graph Neural Networks For Transmission Power Grids, by Salah Ghamizi et al.
Summary of Variable-agnostic Causal Exploration For Reinforcement Learning, by Minh Hoang Nguyen et al.
Summary of Semantic-aware Representation Of Multi-modal Data For Data Ingress: a Literature Review, by Pierre Lamart et al.
Summary of Preventing Catastrophic Overfitting in Fast Adversarial Training: a Bi-level Optimization Perspective, by Zhaoxin Wang et al.
Summary of A Comprehensive Sustainable Framework For Machine Learning and Artificial Intelligence, by Roberto Pagliari et al.
Summary of Estimating Reaction Barriers with Deep Reinforcement Learning, by Adittya Pal
Summary of Energy-guided Diffusion Sampling For Offline-to-online Reinforcement Learning, by Xu-hui Liu et al.
Summary of A Novel Dependency Framework For Enhancing Discourse Data Analysis, by Kun Sun et al.
Summary of Temporal Test-time Adaptation with State-space Models, by Mona Schirmer et al.
Summary of Subequivariant Reinforcement Learning in 3d Multi-entity Physical Environments, by Runfa Chen et al.
Summary of Evaluating the Transferability Potential Of Deep Learning Models For Climate Downscaling, by Ayush Prasad et al.
Summary of Generalized Coverage For More Robust Low-budget Active Learning, by Wonho Bae et al.
Summary of Questionable Practices in Machine Learning, by Gavin Leech et al.
Summary of Individualized Federated Learning For Traffic Prediction with Error Driven Aggregation, by Hang Chen et al.
Summary of Conditional Quantile Estimation For Uncertain Watch Time in Short-video Recommendation, by Chengzhi Lin et al.
Summary of Base Models For Parabolic Partial Differential Equations, by Xingzi Xu et al.
Summary of Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework, by Mayur Patil et al.
Summary of Adaptive Cascading Network For Continual Test-time Adaptation, by Kien X. Nguyen et al.
Summary of Coke: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion Of Missing Manufacturing Data, by Ting-yun Ou et al.
Summary of Explaining Deep Neural Networks by Leveraging Intrinsic Methods, By Biagio La Rosa
Summary of Utg: Towards a Unified View Of Snapshot and Event Based Models For Temporal Graphs, by Shenyang Huang et al.
Summary of When Can Transformers Compositionally Generalize In-context?, by Seijin Kobayashi et al.
Summary of Chip Placement with Diffusion Models, by Vint Lee et al.
Summary of Er-fsl: Experience Replay with Feature Subspace Learning For Online Continual Learning, by Huiwei Lin
Summary of Cdfl: Efficient Federated Human Activity Recognition Using Contrastive Learning and Deep Clustering, by Ensieh Khazaei et al.
Summary of Spectra: Surprising Effectiveness Of Pretraining Ternary Language Models at Scale, by Ayush Kaushal et al.
Summary of Information-theoretic Foundations For Machine Learning, by Hong Jun Jeon et al.
Summary of Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset, by Mijoo Kim and Junseok Kwon
Summary of Why Do You Grok? a Theoretical Analysis Of Grokking Modular Addition, by Mohamad Amin Mohamadi et al.
Summary of Object-aware Query Perturbation For Cross-modal Image-text Retrieval, by Naoya Sogi et al.
Summary of Temporal Receptive Field in Dynamic Graph Learning: a Comprehensive Analysis, by Yannis Karmim (cedric – Vertigo) et al.
Summary of Maskvd: Region Masking For Efficient Video Object Detection, by Sreetama Sarkar et al.
Summary of Learning on Graphs with Large Language Models(llms): a Deep Dive Into Model Robustness, by Kai Guo et al.
Summary of Co-designing Binarized Transformer and Hardware Accelerator For Efficient End-to-end Edge Deployment, by Yuhao Ji et al.
Summary of Private Prediction For Large-scale Synthetic Text Generation, by Kareem Amin et al.
Summary of Enhancing Parameter Efficiency and Generalization in Large-scale Models: a Regularized and Masked Low-rank Adaptation Approach, by Yuzhu Mao et al.
Summary of Tiled Bit Networks: Sub-bit Neural Network Compression Through Reuse Of Learnable Binary Vectors, by Matt Gorbett et al.
Summary of A Benchmark For Fairness-aware Graph Learning, by Yushun Dong et al.
Summary of A Graph-based Adversarial Imitation Learning Framework For Reliable & Realtime Fleet Scheduling in Urban Air Mobility, by Prithvi Poddar et al.
Summary of Memo: Fine-grained Tensor Management For Ultra-long Context Llm Training, by Pinxue Zhao et al.
Summary of Distribution Alignment For Fully Test-time Adaptation with Dynamic Online Data Streams, by Ziqiang Wang et al.
Summary of Molecular Topological Profile (moltop) — Simple and Strong Baseline For Molecular Graph Classification, by Jakub Adamczyk et al.
Summary of Bellman Diffusion Models, by Liam Schramm et al.
Summary of Monocular Pose Estimation Of Articulated Surgical Instruments in Open Surgery, by Robert Spektor et al.
Summary of A Scalable Real-time Data Assimilation Framework For Predicting Turbulent Atmosphere Dynamics, by Junqi Yin et al.
Summary of Subject-driven Text-to-image Generation Via Preference-based Reinforcement Learning, by Yanting Miao et al.
Summary of Are Linear Regression Models White Box and Interpretable?, by Ahmed M Salih and Yuhe Wang
Summary of Exploration Unbound, by Dilip Arumugam et al.
Summary of Satisficing Exploration For Deep Reinforcement Learning, by Dilip Arumugam et al.
Summary of This Probably Looks Exactly Like That: An Invertible Prototypical Network, by Zachariah Carmichael et al.
Summary of On the Calibration Of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss, by Mohammed Fellaji et al.
Summary of Variance Norms For Kernelized Anomaly Detection, by Thomas Cass et al.
Summary of Simplifying the Theory on Over-smoothing, by Andreas Roth
Summary of Learning Confidence Bounds For Classification with Imbalanced Data, by Matt Clifford et al.
Summary of Deep Learning Without Global Optimization by Random Fourier Neural Networks, By Owen Davis et al.
Summary of Combining Wasserstein-1 and Wasserstein-2 Proximals: Robust Manifold Learning Via Well-posed Generative Flows, by Hyemin Gu et al.
Summary of Graphfm: a Scalable Framework For Multi-graph Pretraining, by Divyansha Lachi et al.
Summary of Benchmarking the Attribution Quality Of Vision Models, by Robin Hesse et al.
Summary of Global Optimisation Of Black-box Functions with Generative Models in the Wasserstein Space, by Tigran Ramazyan et al.
Summary of Quantised Global Autoencoder: a Holistic Approach to Representing Visual Data, by Tim Elsner et al.
Summary of Bayesian Causal Forests For Longitudinal Data: Assessing the Impact Of Part-time Work on Growth in High School Mathematics Achievement, by Nathan Mcjames et al.
Summary of Tackling Oversmoothing in Gnn Via Graph Sparsification: a Truss-based Approach, by Tanvir Hossain et al.
Summary of Fairly Accurate: Optimizing Accuracy Parity in Fair Target-group Detection, by Soumyajit Gupta et al.
Summary of Motion-oriented Compositional Neural Radiance Fields For Monocular Dynamic Human Modeling, by Jaehyeok Kim et al.
Summary of Efficient Training with Denoised Neural Weights, by Yifan Gong et al.
Summary of Does Refusal Training in Llms Generalize to the Past Tense?, by Maksym Andriushchenko and Nicolas Flammarion
Summary of Understanding Transformers Via N-gram Statistics, by Timothy Nguyen
Summary of Signspeak: Open-source Time Series Classification For Asl Translation, by Aditya Makkar et al.
Summary of Improving Alphaflow For Efficient Protein Ensembles Generation, by Shaoning Li et al.
Summary of Multistep Brent Oil Price Forecasting with a Multi-aspect Meta-heuristic Optimization and Ensemble Deep Learning Model, by Mohammed Alruqimi and Luca Di Persio
Summary of Data Selection Method For Assessment Of Autonomous Vehicles, by Linh Trinh et al.
Summary of A Theoretical Formulation Of Many-body Message Passing Neural Networks, by Jiatong Han
Summary of A Channel Attention-driven Hybrid Cnn Framework For Paddy Leaf Disease Detection, by Pandiyaraju V et al.
Summary of Self-regulating Random Walks For Resilient Decentralized Learning on Graphs, by Maximilian Egger et al.
Summary of Enhancing Split Computing and Early Exit Applications Through Predefined Sparsity, by Luigi Capogrosso et al.
Summary of Xedgeai: a Human-centered Industrial Inspection Framework with Data-centric Explainable Edge Ai Approach, by Truong Thanh Hung Nguyen et al.
Summary of Relaxing Graph Transformers For Adversarial Attacks, by Philipp Foth et al.
Summary of Data-juicer Sandbox: a Feedback-driven Suite For Multimodal Data-model Co-development, by Daoyuan Chen et al.
Summary of Local Feature Selection Without Label or Feature Leakage For Interpretable Machine Learning Predictions, by Harrie Oosterhuis et al.
Summary of Defining ‘good’: Evaluation Framework For Synthetic Smart Meter Data, by Sheng Chai et al.
Summary of Cryptocurrency Price Forecasting Using Xgboost Regressor and Technical Indicators, by Abdelatif Hafid et al.
Summary of Characterizing and Understanding Hgnn Training on Gpus, by Dengke Han et al.
Summary of Pipeinfer: Accelerating Llm Inference Using Asynchronous Pipelined Speculation, by Branden Butler et al.
Summary of Boosting Drug-disease Association Prediction For Drug Repositioning Via Dual-feature Extraction and Cross-dual-domain Decoding, by Enqiang Zhu et al.
Summary of Harmonizing Safety and Speed: a Human-algorithm Approach to Enhance the Fda’s Medical Device Clearance Policy, by Mohammad Zhalechian et al.
Summary of Approximating the Number Of Relevant Variables in a Parity Implies Proper Learning, by Nader H. Bshouty and George Haddad
Summary of Lofti: Localization and Factuality Transfer to Indian Locales, by Sona Elza Simon (1) et al.
Summary of Variational Randomized Smoothing For Sample-wise Adversarial Robustness, by Ryo Hase et al.