Paper List

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Summary of Adaptive Opponent Policy Detection in Multi-agent Mdps: Real-time Strategy Switch Identification Using Running Error Estimation, by Mohidul Haque Mridul et al.
Summary of Robust Distribution Learning with Local and Global Adversarial Corruptions, by Sloan Nietert et al.
Summary of Equivariant Neural Tangent Kernels, by Philipp Misof et al.
Summary of Verification-guided Shielding For Deep Reinforcement Learning, by Davide Corsi et al.
Summary of Geometric Sparsification in Recurrent Neural Networks, by Wyatt Mackey et al.
Summary of Powerinfer-2: Fast Large Language Model Inference on a Smartphone, by Zhenliang Xue et al.
Summary of Is Value Functions Estimation with Classification Plug-and-play For Offline Reinforcement Learning?, by Denis Tarasov et al.
Summary of Proact: Progressive Training For Hybrid Clipped Activation Function to Enhance Resilience Of Dnns, by Seyedhamidreza Mousavi et al.
Summary of Tx-llm: a Large Language Model For Therapeutics, by Juan Manuel Zambrano Chaves et al.
Summary of Optimisation Of Federated Learning Settings Under Statistical Heterogeneity Variations, by Basem Suleiman et al.
Summary of Causal Discovery Over High-dimensional Structured Hypothesis Spaces with Causal Graph Partitioning, by Ashka Shah et al.
Summary of Cascading Unknown Detection with Known Classification For Open Set Recognition, by Daniel Brignac et al.
Summary of On the Minimal Degree Bias in Generalization on the Unseen For Non-boolean Functions, by Denys Pushkin et al.
Summary of Diffusion-rpo: Aligning Diffusion Models Through Relative Preference Optimization, by Yi Gu et al.
Summary of Low-rank Quantization-aware Training For Llms, by Yelysei Bondarenko et al.
Summary of Towards Lifelong Learning Of Large Language Models: a Survey, by Junhao Zheng et al.
Summary of Meta Learning Text-to-speech Synthesis in Over 7000 Languages, by Florian Lux et al.
Summary of A Taxonomy Of Challenges to Curating Fair Datasets, by Dora Zhao et al.
Summary of Differentially Private Best-arm Identification, by Achraf Azize et al.
Summary of Explainable Graph Neural Networks Under Fire, by Zhong Li et al.
Summary of Disco: An End-to-end Bandit Framework For Personalised Discount Allocation, by Jason Shuo Zhang et al.
Summary of An Improved Empirical Fisher Approximation For Natural Gradient Descent, by Xiaodong Wu et al.
Summary of Multivariate Stochastic Dominance Via Optimal Transport and Applications to Models Benchmarking, by Gabriel Rioux and Apoorva Nitsure and Mattia Rigotti and Kristjan Greenewald and Youssef Mroueh
Summary of Foundation Inference Models For Markov Jump Processes, by David Berghaus et al.
Summary of Mates: Model-aware Data Selection For Efficient Pretraining with Data Influence Models, by Zichun Yu et al.
Summary of On the Utility Of Accounting For Human Beliefs About Ai Intention in Human-ai Collaboration, by Guanghui Yu et al.
Summary of Learning Physical Simulation with Message Passing Transformer, by Zeyi Xu and Yifei Li
Summary of Adapting Pretrained Vits with Convolution Injector For Visuo-motor Control, by Dongyoon Hwang et al.
Summary of An Open and Large-scale Dataset For Multi-modal Climate Change-aware Crop Yield Predictions, by Fudong Lin et al.
Summary of Testably Learning Polynomial Threshold Functions, by Lucas Slot et al.
Summary of A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends, by Xiang Li et al.
Summary of Diffinject: Revisiting Debias Via Synthetic Data Generation Using Diffusion-based Style Injection, by Donggeun Ko et al.
Summary of Can I Understand What I Create? Self-knowledge Evaluation Of Large Language Models, by Zhiquan Tan et al.
Summary of A Comparative Survey Of Vision Transformers For Feature Extraction in Texture Analysis, by Leonardo Scabini et al.
Summary of Decoupled Marked Temporal Point Process Using Neural Ordinary Differential Equations, by Yujee Song et al.
Summary of Get Rich Quick: Exact Solutions Reveal How Unbalanced Initializations Promote Rapid Feature Learning, by Daniel Kunin et al.
Summary of Deep Multi-objective Reinforcement Learning For Utility-based Infrastructural Maintenance Optimization, by Jesse Van Remmerden et al.
Summary of Federated Learning in Food Research, by Zuzanna Fendor et al.
Summary of Lurking in the Shadows: Unveiling Stealthy Backdoor Attacks Against Personalized Federated Learning, by Xiaoting Lyu et al.
Summary of A Statistical Theory Of Regularization-based Continual Learning, by Xuyang Zhao et al.
Summary of Pac-bayes Analysis For Recalibration in Classification, by Masahiro Fujisawa et al.
Summary of Efficient Neural Compression with Inference-time Decoding, by C. Metz et al.
Summary of Data-efficient Learning with Neural Programs, by Alaia Solko-breslin et al.
Summary of Compute Better Spent: Replacing Dense Layers with Structured Matrices, by Shikai Qiu et al.
Summary of Why Don’t Prompt-based Fairness Metrics Correlate?, by Abdelrahman Zayed et al.
Summary of Meansparse: Post-training Robustness Enhancement Through Mean-centered Feature Sparsification, by Sajjad Amini et al.
Summary of Expressive Power Of Graph Neural Networks For (mixed-integer) Quadratic Programs, by Ziang Chen et al.
Summary of Decoupling Regularization From the Action Space, by Sobhan Mohammadpour et al.
Summary of Aligning Large Language Models with Representation Editing: a Control Perspective, by Lingkai Kong et al.
Summary of Turbo Sparse: Achieving Llm Sota Performance with Minimal Activated Parameters, by Yixin Song et al.
Summary of Distributionally Robust Safe Sample Elimination Under Covariate Shift, by Hiroyuki Hanada et al.
Summary of Magnolia: Matching Algorithms Via Gnns For Online Value-to-go Approximation, by Alexandre Hayderi et al.
Summary of Cvqa: Culturally-diverse Multilingual Visual Question Answering Benchmark, by David Romero et al.
Summary of Decision-making Behavior Evaluation Framework For Llms Under Uncertain Context, by Jingru Jia et al.
Summary of Explainable Ai For Mental Disorder Detection Via Social Media: a Survey and Outlook, by Yusif Ibrahimov et al.
Summary of Shiftaddllm: Accelerating Pretrained Llms Via Post-training Multiplication-less Reparameterization, by Haoran You et al.
Summary of Neural-g: a Deep Learning Framework For Mixing Density Estimation, by Shijie Wang et al.
Summary of Discovering Multiple Solutions From a Single Task in Offline Reinforcement Learning, by Takayuki Osa and Tatsuya Harada
Summary of A Dual-view Approach to Classifying Radiology Reports by Co-training, By Yutong Han et al.
Summary of Cares: a Comprehensive Benchmark Of Trustworthiness in Medical Vision Language Models, by Peng Xia et al.
Summary of Computational and Statistical Guarantees For Tensor-on-tensor Regression with Tensor Train Decomposition, by Zhen Qin and Zhihui Zhu
Summary of Graphstorm: All-in-one Graph Machine Learning Framework For Industry Applications, by Da Zheng et al.
Summary of Epilearn: a Python Library For Machine Learning in Epidemic Modeling, by Zewen Liu et al.
Summary of Investigating Pre-training Objectives For Generalization in Vision-based Reinforcement Learning, by Donghu Kim et al.
Summary of Vision Mamba: Cutting-edge Classification Of Alzheimer’s Disease with 3d Mri Scans, by Muthukumar K a et al.
Summary of Set-clip: Exploring Aligned Semantic From Low-alignment Multimodal Data Through a Distribution View, by Zijia Song et al.
Summary of Profeat: Projected Feature Adversarial Training For Self-supervised Learning Of Robust Representations, by Sravanti Addepalli et al.
Summary of Unified Text-to-image Generation and Retrieval, by Leigang Qu et al.
Summary of What Can We Learn From State Space Models For Machine Learning on Graphs?, by Yinan Huang et al.
Summary of Attention As a Hypernetwork, by Simon Schug et al.
Summary of Symmetric Matrix Completion with Relu Sampling, by Huikang Liu et al.
Summary of Scaling Graph Convolutions For Mobile Vision, by William Avery et al.
Summary of Psbd: Prediction Shift Uncertainty Unlocks Backdoor Detection, by Wei Li et al.
Summary of Self-distilled Disentangled Learning For Counterfactual Prediction, by Xinshu Li et al.
Summary of Omnicontrolnet: Dual-stage Integration For Conditional Image Generation, by Yilin Wang et al.
Summary of Starling: Self-supervised Training Of Text-based Reinforcement Learning Agent with Large Language Models, by Shreyas Basavatia et al.
Summary of Zero-shot End-to-end Spoken Question Answering in Medical Domain, by Yanis Labrak et al.
Summary of Lgr2: Language Guided Reward Relabeling For Accelerating Hierarchical Reinforcement Learning, by Utsav Singh et al.
Summary of Distributional Preference Alignment Of Llms Via Optimal Transport, by Igor Melnyk et al.
Summary of Information Theoretic Guarantees For Policy Alignment in Large Language Models, by Youssef Mroueh
Summary of Few-shot Load Forecasting Under Data Scarcity in Smart Grids: a Meta-learning Approach, by Georgios Tsoumplekas et al.
Summary of Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research, by Harish Haresamudram et al.
Summary of Event Prediction and Causality Inference Despite Incomplete Information, by Harrison Lam et al.
Summary of Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness Of Ai Utilizing Human Feedback, by Emilia Agis Lerner et al.
Summary of Which Backbone to Use: a Resource-efficient Domain Specific Comparison For Computer Vision, by Pranav Jeevan and Amit Sethi
Summary of Deep Learning to Predict Glaucoma Progression Using Structural Changes in the Eye, by Sayan Mandal
Summary of Domain Agnostic Conditional Invariant Predictions For Domain Generalization, by Zongbin Wang et al.
Summary of Domain Generalization Guided by Large-scale Pre-trained Priors, By Zongbin Wang et al.
Summary of Separating the “chirp” From the “chat”: Self-supervised Visual Grounding Of Sound and Language, by Mark Hamilton et al.
Summary of Ccsi: Continual Class-specific Impression For Data-free Class Incremental Learning, by Sana Ayromlou et al.
Summary of Heterogeneous Treatment Effects in Panel Data, by Retsef Levi et al.
Summary of Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task, by Jie Liu et al.
Summary of Icu-sepsis: a Benchmark Mdp Built From Real Medical Data, by Kartik Choudhary et al.
Summary of Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models, by Alkis Kalavasis et al.
Summary of Probability Distribution Learning and Its Application in Deep Learning, by Binchuan Qi et al.
Summary of Certified Robustness to Data Poisoning in Gradient-based Training, by Philip Sosnin et al.
Summary of From Basic to Extra Features: Hypergraph Transformer Pretrain-then-finetuning For Balanced Clinical Predictions on Ehr, by Ran Xu et al.
Summary of Provable Optimization For Adversarial Fair Self-supervised Contrastive Learning, by Qi Qi et al.
Summary of Peer Review As a Multi-turn and Long-context Dialogue with Role-based Interactions, by Cheng Tan et al.
Summary of A Conversion Theorem and Minimax Optimality For Continuum Contextual Bandits, by Arya Akhavan et al.