Paper List

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Summary of Explaining Probabilistic Models with Distributional Values, by Luca Franceschi et al.
Summary of Enhancing Courier Scheduling in Crowdsourced Last-mile Delivery Through Dynamic Shift Extensions: a Deep Reinforcement Learning Approach, by Zead Saleh et al.
Summary of On Designing Features For Condition Monitoring Of Rotating Machines, by Seetaram Maurya and Nishchal K. Verma
Summary of Conformalized Adaptive Forecasting Of Heterogeneous Trajectories, by Yanfei Zhou et al.
Summary of Representation Surgery: Theory and Practice Of Affine Steering, by Shashwat Singh et al.
Summary of Smart Information Exchange For Unsupervised Federated Learning Via Reinforcement Learning, by Seohyun Lee et al.
Summary of Multi-fidelity Methods For Optimization: a Survey, by Ke Li and Fan Li
Summary of Foul Prediction with Estimated Poses From Soccer Broadcast Video, by Jiale Fang et al.
Summary of How to Train Data-efficient Llms, by Noveen Sachdeva et al.
Summary of User Modeling and User Profiling: a Comprehensive Survey, by Erasmo Purificato (1) et al.
Summary of Exploiting Alpha Transparency in Language and Vision-based Ai Systems, by David Noever and Forrest Mckee
Summary of Hypermagnet: a Magnetic Laplacian Based Hypergraph Neural Network, by Tatyana Benko et al.
Summary of Pal: Proxy-guided Black-box Attack on Large Language Models, by Chawin Sitawarin et al.
Summary of Universal Black-box Reward Poisoning Attack Against Offline Reinforcement Learning, by Yinglun Xu et al.
Summary of Sparse and Faithful Explanations Without Sparse Models, by Yiyang Sun et al.
Summary of Node Duplication Improves Cold-start Link Prediction, by Zhichun Guo et al.
Summary of Efficient Prompt Optimization Through the Lens Of Best Arm Identification, by Chengshuai Shi et al.
Summary of Dform: Diffeomorphic Vector Field Alignment For Assessing Dynamics Across Learned Models, by Ruiqi Chen et al.
Summary of Qurating: Selecting High-quality Data For Training Language Models, by Alexander Wettig et al.
Summary of Dof: Accelerating High-order Differential Operators with Forward Propagation, by Ruichen Li et al.
Summary of Model Compression and Efficient Inference For Large Language Models: a Survey, by Wenxiao Wang et al.
Summary of Robust Svd Made Easy: a Fast and Reliable Algorithm For Large-scale Data Analysis, by Sangil Han et al.
Summary of Tinycl: An Efficient Hardware Architecture For Continual Learning on Autonomous Systems, by Eugenio Ressa and Alberto Marchisio and Maurizio Martina and Guido Masera and Muhammad Shafique
Summary of Rolling Diffusion Models, by David Ruhe et al.
Summary of Machine Learning For Stochastic Parametrisation, by Hannah M. Christensen et al.
Summary of Oracle-efficient Differentially Private Learning with Public Data, by Adam Block et al.
Summary of Umoea/d: a Multiobjective Evolutionary Algorithm For Uniform Pareto Objectives Based on Decomposition, by Xiaoyuan Zhang and Xi Lin and Yichi Zhang and Yifan Chen and Qingfu Zhang
Summary of The Manifold Density Function: An Intrinsic Method For the Validation Of Manifold Learning, by Benjamin Holmgren et al.
Summary of Layerwise Proximal Replay: a Proximal Point Method For Online Continual Learning, by Jason Yoo et al.
Summary of Pmgda: a Preference-based Multiple Gradient Descent Algorithm, by Xiaoyuan Zhang and Xi Lin and Qingfu Zhang
Summary of Dataset Clustering For Improved Offline Policy Learning, by Qiang Wang et al.
Summary of Bidirectional Generative Pre-training For Improving Healthcare Time-series Representation Learning, by Ziyang Song et al.
Summary of Statistical and Machine Learning Models For Predicting Fire and Other Emergency Events, by Dilli Prasad Sharma et al.
Summary of Distribution-free Rates in Neyman-pearson Classification, by Mohammadreza M. Kalan et al.
Summary of Werank: Towards Rank Degradation Prevention For Self-supervised Learning Using Weight Regularization, by Ali Saheb Pasand et al.
Summary of Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer, By Md Kowsher and Abdul Rafae Khan and Jia Xu
Summary of Complexity Reduction in Machine Learning-based Wireless Positioning: Minimum Description Features, by Myeung Suk Oh et al.
Summary of Reconstructing the Geometry Of Random Geometric Graphs, by Han Huang et al.
Summary of Pulmonologists-level Lung Cancer Detection Based on Standard Blood Test Results and Smoking Status Using An Explainable Machine Learning Approach, by Ricco Noel Hansen Flyckt et al.
Summary of Low-rank Graph Contrastive Learning For Node Classification, by Yancheng Wang et al.
Summary of Scalable Graph Self-supervised Learning, by Ali Saheb Pasand et al.
Summary of Api Pack: a Massive Multi-programming Language Dataset For Api Call Generation, by Zhen Guo et al.
Summary of Exact, Fast and Expressive Poisson Point Processes Via Squared Neural Families, by Russell Tsuchida and Cheng Soon Ong and Dino Sejdinovic
Summary of Ecoval: An Efficient Data Valuation Framework For Machine Learning, by Ayush K Tarun et al.
Summary of Learning Interpretable Policies in Hindsight-observable Pomdps Through Partially Supervised Reinforcement Learning, by Michael Lanier et al.
Summary of Comparing Supervised Learning Dynamics: Deep Neural Networks Match Human Data Efficiency but Show a Generalisation Lag, by Lukas S. Huber et al.
Summary of Embracing the Black Box: Heading Towards Foundation Models For Causal Discovery From Time Series Data, by Gideon Stein et al.
Summary of Stability and Multigroup Fairness in Ranking with Uncertain Predictions, by Siddartha Devic et al.
Summary of Only My Model on My Data: a Privacy Preserving Approach Protecting One Model and Deceiving Unauthorized Black-box Models, by Weiheng Chai et al.
Summary of Inform: Mitigating Reward Hacking in Rlhf Via Information-theoretic Reward Modeling, by Yuchun Miao et al.
Summary of Information Complexity Of Stochastic Convex Optimization: Applications to Generalization and Memorization, by Idan Attias et al.
Summary of Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production, by Patrick Oliver Schenk and Christoph Kern
Summary of Integrating Chatgpt Into Secure Hospital Networks: a Case Study on Improving Radiology Report Analysis, by Kyungsu Kim et al.
Summary of Transformers Can Achieve Length Generalization but Not Robustly, by Yongchao Zhou et al.
Summary of Loss Shaping Constraints For Long-term Time Series Forecasting, by Ignacio Hounie et al.
Summary of Grassrep: Graph-based Self-supervised Learning For Repeat Detection in Metagenomic Assembly, by Ali Azizpour et al.
Summary of Get More with Less: Synthesizing Recurrence with Kv Cache Compression For Efficient Llm Inference, by Harry Dong et al.
Summary of Aqa-bench: An Interactive Benchmark For Evaluating Llms’ Sequential Reasoning Ability, by Siwei Yang et al.
Summary of An Enhanced Analysis Of Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function, by Ayad Ghany Ismaeel et al.
Summary of Optimistic Thompson Sampling For No-regret Learning in Unknown Games, by Yingru Li et al.
Summary of Reinforcement Learning From Human Feedback with Active Queries, by Kaixuan Ji and Jiafan He and Quanquan Gu
Summary of Optimal Thresholding Linear Bandit, by Eduardo Ochoa Rivera and Ambuj Tewari
Summary of Fourier Circuits in Neural Networks and Transformers: a Case Study Of Modular Arithmetic with Multiple Inputs, by Chenyang Li et al.
Summary of Less Is More: Fewer Interpretable Region Via Submodular Subset Selection, by Ruoyu Chen et al.
Summary of Unifying Invariance and Spuriousity For Graph Out-of-distribution Via Probability Of Necessity and Sufficiency, by Xuexin Chen et al.
Summary of Deinterleaving Of Discrete Renewal Process Mixtures with Application to Electronic Support Measures, by Jean Pinsolle et al.
Summary of Optimal and Efficient Algorithms For Decentralized Online Convex Optimization, by Yuanyu Wan and Tong Wei and Bo Xue and Mingli Song and Lijun Zhang
Summary of Evolving Restricted Boltzmann Machine-kohonen Network For Online Clustering, by J. Senthilnath et al.
Summary of Leveraging the Context Through Multi-round Interactions For Jailbreaking Attacks, by Yixin Cheng et al.
Summary of Better-than-kl Pac-bayes Bounds, by Ilja Kuzborskij et al.
Summary of Ten Words Only Still Help: Improving Black-box Ai-generated Text Detection Via Proxy-guided Efficient Re-sampling, by Yuhui Shi et al.
Summary of Directional Convergence Near Small Initializations and Saddles in Two-homogeneous Neural Networks, by Akshay Kumar and Jarvis Haupt
Summary of Multi-hierarchical Surrogate Learning For Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks, by Jonas Kneifl et al.
Summary of Robust Training Of Temporal Gnns Using Nearest Neighbours Based Hard Negatives, by Shubham Gupta et al.
Summary of Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models, by Goutham Rajendran et al.
Summary of Momentum Approximation in Asynchronous Private Federated Learning, by Tao Yu et al.
Summary of Switch Ema: a Free Lunch For Better Flatness and Sharpness, by Siyuan Li et al.
Summary of Ur2m: Uncertainty and Resource-aware Event Detection on Microcontrollers, by Hong Jia et al.
Summary of Transformers, Parallel Computation, and Logarithmic Depth, by Clayton Sanford et al.
Summary of Attacks, Defenses and Evaluations For Llm Conversation Safety: a Survey, by Zhichen Dong et al.
Summary of Synergistic Eigenanalysis Of Covariance and Hessian Matrices For Enhanced Binary Classification, by Agus Hartoyo et al.
Summary of Hybrid Machine Learning Techniques in the Management Of Harmful Algal Blooms Impact, by Andres Molares-ulloa et al.
Summary of Nutrition Facts, Drug Facts, and Model Facts: Putting Ai Ethics Into Practice in Gun Violence Research, by Jessica Zhu et al.
Summary of Gradient Alignment with Prototype Feature For Fully Test-time Adaptation, by Juhyeon Shin and Jonghyun Lee and Saehyung Lee and Minjun Park and Dongjun Lee and Uiwon Hwang and Sungroh Yoon
Summary of Sleb: Streamlining Llms Through Redundancy Verification and Elimination Of Transformer Blocks, by Jiwon Song et al.
Summary of Neural Operators Meet Energy-based Theory: Operator Learning For Hamiltonian and Dissipative Pdes, by Yusuke Tanaka et al.
Summary of Enhancing Sequential Model Performance with Squared Sigmoid Tanh (sst) Activation Under Data Constraints, by Barathi Subramanian et al.
Summary of Inference Of Abstraction For a Unified Account Of Reasoning and Learning, by Hiroyuki Kido
Summary of Under Manipulations, Are Some Ai Models Harder to Audit?, by Augustin Godinot et al.
Summary of I Can’t See It but I Can Fine-tune It: on Encrypted Fine-tuning Of Transformers Using Fully Homomorphic Encryption, by Prajwal Panzade et al.
Summary of End-to-end Training Induces Information Bottleneck Through Layer-role Differentiation: a Comparative Analysis with Layer-wise Training, by Keitaro Sakamoto et al.
Summary of Solid Waste Detection, Monitoring and Mapping in Remote Sensing Images: a Survey, by Piero Fraternali et al.
Summary of Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-source Llms Through the Embedding Space, by Leo Schwinn and David Dobre and Sophie Xhonneux and Gauthier Gidel and Stephan Gunnemann
Summary of Fedsikd: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning, by Yousef Alsenani et al.
Summary of How Does Your Rl Agent Explore? An Optimal Transport Analysis Of Occupancy Measure Trajectories, by Reabetswe M. Nkhumise et al.
Summary of Sobolev Training For Operator Learning, by Namkyeong Cho et al.
Summary of Exploring the Adversarial Capabilities Of Large Language Models, by Lukas Struppek et al.
Summary of Weighted-sum Gaussian Process Latent Variable Models, by James Odgers et al.
Summary of When Representations Align: Universality in Representation Learning Dynamics, by Loek Van Rossem et al.
Summary of Resqunns:towards Enabling Deep Learning in Quantum Convolution Neural Networks, by Muhammad Kashif et al.