Paper List

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Summary of Plan*rag: Efficient Test-time Planning For Retrieval Augmented Generation, by Prakhar Verma et al.
Summary of Odrl: a Benchmark For Off-dynamics Reinforcement Learning, by Jiafei Lyu et al.
Summary of Task Confusion and Catastrophic Forgetting in Class-incremental Learning: a Mathematical Framework For Discriminative and Generative Modelings, by Milad Khademi Nori and Il-min Kim
Summary of Trajagent: An Agent Framework For Unified Trajectory Modelling, by Yuwei Du et al.
Summary of Teaformers: Tensor-augmented Transformers For Multi-dimensional Time Series Forecasting, by Linghang Kong et al.
Summary of Vector Quantization Prompting For Continual Learning, by Li Jiao et al.
Summary of Graph Neural Networks on Discriminative Graphs Of Words, by Yassine Abbahaddou et al.
Summary of Hamiltonian Score Matching and Generative Flows, by Peter Holderrieth et al.
Summary of A Cosmic-scale Benchmark For Symmetry-preserving Data Processing, by Julia Balla et al.
Summary of Improving Decision Sparsity, by Yiyang Sun et al.
Summary of Efficient Diversity-based Experience Replay For Deep Reinforcement Learning, by Kaiyan Zhao et al.
Summary of Llama Scope: Extracting Millions Of Features From Llama-3.1-8b with Sparse Autoencoders, by Zhengfu He et al.
Summary of Guiding Through Complexity: What Makes Good Supervision For Hard Math Reasoning Tasks?, by Xuan He et al.
Summary of Info-cels: Informative Saliency Map Guided Counterfactual Explanation, by Peiyu Li et al.
Summary of Toward Conditional Distribution Calibration in Survival Prediction, by Shi-ang Qi et al.
Summary of Generator Matching: Generative Modeling with Arbitrary Markov Processes, by Peter Holderrieth et al.
Summary of Papagei: Open Foundation Models For Optical Physiological Signals, by Arvind Pillai et al.
Summary of A Framework For Real-time Volcano-seismic Event Recognition Based on Multi-station Seismograms and Semantic Segmentation Models, by Camilo Espinosa-curilem et al.
Summary of Practical Bayesian Algorithm Execution Via Posterior Sampling, by Chu Xin Cheng et al.
Summary of Implementation and Application Of An Intelligibility Protocol For Interaction with An Llm, by Ashwin Srinivasan et al.
Summary of Kernel Approximation Of Fisher-rao Gradient Flows, by Jia-jie Zhu et al.
Summary of Tabdiff: a Mixed-type Diffusion Model For Tabular Data Generation, by Juntong Shi et al.
Summary of Plastic Learning with Deep Fourier Features, by Alex Lewandowski et al.
Summary of Sequential Large Language Model-based Hyper-parameter Optimization, by Kanan Mahammadli et al.
Summary of Anomix: a Simple Yet Effective Hard Negative Generation Via Mixing For Graph Anomaly Detection, by Hwan Kim et al.
Summary of Protscape: Mapping the Landscape Of Protein Conformations in Molecular Dynamics, by Siddharth Viswanath et al.
Summary of Q-distribution Guided Q-learning For Offline Reinforcement Learning: Uncertainty Penalized Q-value Via Consistency Model, by Jing Zhang et al.
Summary of Low-rank Bayesian Matrix Completion Via Geodesic Hamiltonian Monte Carlo on Stiefel Manifolds, by Tiangang Cui and Alex Gorodetsky
Summary of Embedded Nonlocal Operator Regression (enor): Quantifying Model Error in Learning Nonlocal Operators, by Yiming Fan et al.
Summary of Domain Specific Data Distillation and Multi-modal Embedding Generation, by Sharadind Peddiraju et al.
Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Summary of Leveraging Auxiliary Task Relevance For Enhanced Bearing Fault Diagnosis Through Curriculum Meta-learning, by Jinze Wang et al.
Summary of Rethinking Reconstruction-based Graph-level Anomaly Detection: Limitations and a Simple Remedy, by Sunwoo Kim et al.
Summary of Intuitionistic Fuzzy Universum Twin Support Vector Machine For Imbalanced Data, by A. Quadir et al.
Summary of Multiple Kernel Concept Factorization Algorithm Based on Global Fusion, by Fei Li et al.
Summary of Fusefl: One-shot Federated Learning Through the Lens Of Causality with Progressive Model Fusion, by Zhenheng Tang et al.
Summary of Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking, by Yunhui Liang et al.
Summary of Hierarchical Multiple Kernel K-means Algorithm Based on Sparse Connectivity, by Lei Wang et al.
Summary of Evaluation Of Uncertainty Estimations For Gaussian Process Regression Based Machine Learning Interatomic Potentials, by Matthias Holzenkamp et al.
Summary of Thunderkittens: Simple, Fast, and Adorable Ai Kernels, by Benjamin F. Spector et al.
Summary of Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss, by Kunal Dahiya et al.
Summary of Deep Learning-driven Microstructure Characterization and Vickers Hardness Prediction Of Mg-gd Alloys, by Lu Wang et al.
Summary of Causal Modeling in Multi-context Systems: Distinguishing Multiple Context-specific Causal Graphs Which Account For Observational Support, by Martin Rabel et al.
Summary of Looking Beyond the Top-1: Transformers Determine Top Tokens in Order, by Daria Lioubashevski et al.
Summary of Safe Setup For Generative Molecular Design, by Yassir El Mesbahi and Emmanuel Noutahi
Summary of Hoeffding Adaptive Trees For Multi-label Classification on Data Streams, by Aurora Esteban et al.
Summary of Improving Model Evaluation Using Smart Filtering Of Benchmark Datasets, by Vipul Gupta et al.
Summary of Model Equality Testing: Which Model Is This Api Serving?, by Irena Gao et al.
Summary of Convergence Guarantees For the Deepwalk Embedding on Block Models, by Christopher Harker et al.
Summary of Robust Model Evaluation Over Large-scale Federated Networks, by Amir Najafi et al.
Summary of Overcoming the Sim-to-real Gap: Leveraging Simulation to Learn to Explore For Real-world Rl, by Andrew Wagenmaker et al.
Summary of Equivariant Blurring Diffusion For Hierarchical Molecular Conformer Generation, by Jiwoong Park et al.
Summary of You Never Know: Quantization Induces Inconsistent Biases in Vision-language Foundation Models, by Eric Slyman et al.
Summary of Centaur: a Foundation Model Of Human Cognition, by Marcel Binz et al.
Summary of Library Learning Doesn’t: the Curious Case Of the Single-use “library”, by Ian Berlot-attwell et al.
Summary of Classification Under Strategic Adversary Manipulation Using Pessimistic Bilevel Optimisation, by David Benfield et al.
Summary of Proactive Fraud Defense: Machine Learning’s Evolving Role in Protecting Against Online Fraud, by Md Kamrul Hasan Chy
Summary of On the Gaussian Process Limit Of Bayesian Additive Regression Trees, by Giacomo Petrillo
Summary of A Systematic Review Of Machine Learning Approaches For Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases, by Yunchong Liu et al.
Summary of Decaf: a Causal Decoupling Framework For Ood Generalization on Node Classification, by Xiaoxue Han et al.
Summary of Fine-tuning and Evaluating Open-source Large Language Models For the Army Domain, by Daniel C. Ruiz and John Sell
Summary of Predicting Mortality and Functional Status Scores Of Traumatic Brain Injury Patients Using Supervised Machine Learning, by Lucas Steinmetz et al.
Summary of Accelerating Direct Preference Optimization with Prefix Sharing, by Franklin Wang et al.
Summary of Geofuse: a High-efficiency Surrogate Model For Seawater Intrusion Prediction and Uncertainty Reduction, by Su Jiang et al.
Summary of On Multi-stage Loss Dynamics in Neural Networks: Mechanisms Of Plateau and Descent Stages, by Zheng-an Chen et al.
Summary of Near-optimal Streaming Heavy-tailed Statistical Estimation with Clipped Sgd, by Aniket Das et al.
Summary of Fedmaba: Towards Fair Federated Learning Through Multi-armed Bandits Allocation, by Zhichao Wang et al.
Summary of Gflownet Fine-tuning For Diverse Correct Solutions in Mathematical Reasoning Tasks, by Ryoichi Takase et al.
Summary of Adaneg: Adaptive Negative Proxy Guided Ood Detection with Vision-language Models, by Yabin Zhang and Lei Zhang
Summary of Your Image Is Secretly the Last Frame Of a Pseudo Video, by Wenlong Chen et al.
Summary of Causal Abstraction in Model Interpretability: a Compact Survey, by Yihao Zhang
Summary of Prompt Diffusion Robustifies Any-modality Prompt Learning, by Yingjun Du et al.
Summary of Deepmide: a Multivariate Spatio-temporal Method For Ultra-scale Offshore Wind Energy Forecasting, by Feng Ye et al.
Summary of Infectious Disease Forecasting in India Using Llm’s and Deep Learning, by Chaitya Shah et al.
Summary of Alternatives Of Unsupervised Representations Of Variables on the Latent Space, by Alex Glushkovsky
Summary of Beyond Simple Sum Of Delayed Rewards: Non-markovian Reward Modeling For Reinforcement Learning, by Yuting Tang et al.
Summary of Llms Can Evolve Continually on Modality For X-modal Reasoning, by Jiazuo Yu et al.
Summary of Copyright-aware Incentive Scheme For Generative Art Models Using Hierarchical Reinforcement Learning, by Zhuan Shi et al.
Summary of Chemical Language Model Linker: Blending Text and Molecules with Modular Adapters, by Yifan Deng et al.
Summary of Uncertainty-penalized Direct Preference Optimization, by Sam Houliston et al.
Summary of Transferable Adversarial Attacks on Sam and Its Downstream Models, by Song Xia and Wenhan Yang and Yi Yu and Xun Lin and Henghui Ding and Lingyu Duan and Xudong Jiang
Summary of Generative Ai in Health Economics and Outcomes Research: a Taxonomy Of Key Definitions and Emerging Applications, An Ispor Working Group Report, by Rachael Fleurence et al.
Summary of Revisiting Differential Verification: Equivalence Verification with Confidence, by Samuel Teuber et al.
Summary of Unsupervised Machine Learning For Detecting and Locating Human-made Objects in 3d Point Cloud, by Hong Zhao et al.
Summary of Dynamic Layer Selection in Decoder-only Transformers, by Theodore Glavas et al.
Summary of Sensor2text: Enabling Natural Language Interactions For Daily Activity Tracking Using Wearable Sensors, by Wenqiang Chen et al.
Summary of Training the Untrainable: Introducing Inductive Bias Via Representational Alignment, by Vighnesh Subramaniam et al.
Summary of Architectural Flaw Detection in Civil Engineering Using Gpt-4, by Saket Kumar et al.
Summary of Revisiting Playerank, by Louise Schmidt and Cristian Lillo and Javier Bustos
Summary of Annotation Efficiency: Identifying Hard Samples Via Blocked Sparse Linear Bandits, by Adit Jain et al.
Summary of Resad: a Simple Framework For Class Generalizable Anomaly Detection, by Xincheng Yao and Zixin Chen and Chao Gao and Guangtao Zhai and Chongyang Zhang
Summary of Evaluating Neural Networks For Early Maritime Threat Detection, by Dhanush Tella et al.
Summary of Mechanism Learning: Reverse Causal Inference in the Presence Of Multiple Unknown Confounding Through Front-door Causal Bootstrapping, by Jianqiao Mao et al.
Summary of Understanding the Effect Of Gcn Convolutions in Regression Tasks, by Juntong Chen et al.
Summary of Deep Concept Identification For Generative Design, by Ryo Tsumoto et al.
Summary of Cgkn: a Deep Learning Framework For Modeling Complex Dynamical Systems and Efficient Data Assimilation, by Chuanqi Chen et al.
Summary of Emg2qwerty: a Large Dataset with Baselines For Touch Typing Using Surface Electromyography, by Viswanath Sivakumar et al.
Summary of Ogbench: Benchmarking Offline Goal-conditioned Rl, by Seohong Park et al.
Summary of Sample Efficient Bayesian Learning Of Causal Graphs From Interventions, by Zihan Zhou et al.
Summary of Self-normalized Resets For Plasticity in Continual Learning, by Vivek F. Farias et al.