Paper List

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Summary of From Movements to Metrics: Evaluating Explainable Ai Methods in Skeleton-based Human Activity Recognition, by Kimji N. Pellano et al.
Summary of Learning Generalization and Regularization Of Nonhomogeneous Temporal Poisson Processes, by Son Nguyen Van and Hoai Nguyen Xuan
Summary of Scalable Decentralized Algorithms For Online Personalized Mean Estimation, by Franco Galante et al.
Summary of Genaudit: Fixing Factual Errors in Language Model Outputs with Evidence, by Kundan Krishna et al.
Summary of Multilinear Mixture Of Experts: Scalable Expert Specialization Through Factorization, by James Oldfield et al.
Summary of Dynamic Pricing and Learning with Long-term Reference Effects, by Shipra Agrawal et al.
Summary of Offline Multi-task Transfer Rl with Representational Penalization, by Avinandan Bose et al.
Summary of Fairproof : Confidential and Certifiable Fairness For Neural Networks, by Chhavi Yadav et al.
Summary of Graph-based Virtual Sensing From Sparse and Partial Multivariate Observations, by Giovanni De Felice et al.
Summary of Analysis Of Using Sigmoid Loss For Contrastive Learning, by Chungpa Lee et al.
Summary of Multi-objective Binary Coordinate Search For Feature Selection, by Sevil Zanjani Miyandoab et al.
Summary of Reflect-rl: Two-player Online Rl Fine-tuning For Lms, by Runlong Zhou et al.
Summary of Compact Nsga-ii For Multi-objective Feature Selection, by Sevil Zanjani Miyandoab et al.
Summary of A Comprehensive Review Of Machine Learning Advances on Data Change: a Cross-field Perspective, by Jeng-lin Li et al.
Summary of Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors, by Yiwei Lu et al.
Summary of Fast: An Optimization Framework For Fast Additive Segmentation in Transparent Ml, by Brian Liu and Rahul Mazumder
Summary of Training Artificial Neural Networks by Coordinate Search Algorithm, By Ehsan Rokhsatyazdi et al.
Summary of Hypermoe: Towards Better Mixture Of Experts Via Transferring Among Experts, by Hao Zhao et al.
Summary of Discriminant Distance-aware Representation on Deterministic Uncertainty Quantification Methods, by Jiaxin Zhang et al.
Summary of Softqe: Learned Representations Of Queries Expanded by Llms, By Varad Pimpalkhute et al.
Summary of Randomization Can Reduce Both Bias and Variance: a Case Study in Random Forests, by Brian Liu and Rahul Mazumder
Summary of Beyond Worst-case Attacks: Robust Rl with Adaptive Defense Via Non-dominated Policies, by Xiangyu Liu et al.
Summary of Torchcp: a Python Library For Conformal Prediction, by Jianguo Huang et al.
Summary of Modelgpt: Unleashing Llm’s Capabilities For Tailored Model Generation, by Zihao Tang et al.
Summary of Vehicle-group-based Crash Risk Prediction and Interpretation on Highways, by Tianheng Zhu et al.
Summary of Tables As Texts or Images: Evaluating the Table Reasoning Ability Of Llms and Mllms, by Naihao Deng et al.
Summary of Predicting Trucking Accidents with Truck Drivers ‘safety Climate Perception Across Companies: a Transfer Learning Approach, by Kailai Sun et al.
Summary of Ebft: Effective and Block-wise Fine-tuning For Sparse Llms, by Song Guo et al.
Summary of Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures, by Akash Guna R.t et al.
Summary of In Value-based Deep Reinforcement Learning, a Pruned Network Is a Good Network, by Johan Obando-ceron and Aaron Courville and Pablo Samuel Castro
Summary of Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-organizing Maps, by Hitesh Vaidya et al.
Summary of Towards Cross-domain Continual Learning, by Marcus De Carvalho et al.
Summary of Feudal Networks For Visual Navigation, by Faith Johnson et al.
Summary of Integrating Knn with Foundation Models For Adaptable and Privacy-aware Image Classification, by Sebastian Doerrich et al.
Summary of Parcv2: Physics-aware Recurrent Convolutional Neural Networks For Spatiotemporal Dynamics Modeling, by Phong C.h. Nguyen et al.
Summary of Sdes For Minimax Optimization, by Enea Monzio Compagnoni et al.
Summary of Induced Model Matching: How Restricted Models Can Help Larger Ones, by Usama Muneeb and Mesrob I. Ohannessian
Summary of Gaussian Process Neural Additive Models, by Wei Zhang et al.
Summary of The Edge-of-reach Problem in Offline Model-based Reinforcement Learning, by Anya Sims et al.
Summary of Parallel Structures in Pre-training Data Yield In-context Learning, by Yanda Chen et al.
Summary of Improving Deep Generative Models on Many-to-one Image-to-image Translation, by Sagar Saxena et al.
Summary of Locality-sensitive Hashing-based Efficient Point Transformer with Applications in High-energy Physics, by Siqi Miao et al.
Summary of Adept: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning, by Kaan Ozkara et al.
Summary of On the Byzantine-resilience Of Distillation-based Federated Learning, by Christophe Roux et al.
Summary of Any2graph: Deep End-to-end Supervised Graph Prediction with An Optimal Transport Loss, by Paul Krzakala et al.
Summary of Refining Minimax Regret For Unsupervised Environment Design, by Michael Beukman et al.
Summary of Regularization by Denoising: Bayesian Model and Langevin-within-split Gibbs Sampling, By Elhadji C. Faye et al.
Summary of Asymptotic Gaussian Fluctuations Of Eigenvectors in Spectral Clustering, by Hugo Lebeau et al.
Summary of Multi-view Conformal Learning For Heterogeneous Sensor Fusion, by Enrique Garcia-ceja
Summary of Dynamic Environment Responsive Online Meta-learning with Fairness Awareness, by Chen Zhao et al.
Summary of Psychogat: a Novel Psychological Measurement Paradigm Through Interactive Fiction Games with Llm Agents, by Qisen Yang et al.
Summary of Landmark Stereo Dataset For Landmark Recognition and Moving Node Localization in a Non-gps Battlefield Environment, by Ganesh Sapkota et al.
Summary of Query-based Adversarial Prompt Generation, by Jonathan Hayase et al.
Summary of Robust Clip: Unsupervised Adversarial Fine-tuning Of Vision Embeddings For Robust Large Vision-language Models, by Christian Schlarmann et al.
Summary of Generating Survival Interpretable Trajectories and Data, by Andrei V. Konstantinov et al.
Summary of Gtbench: Uncovering the Strategic Reasoning Limitations Of Llms Via Game-theoretic Evaluations, by Jinhao Duan et al.
Summary of Emulated Disalignment: Safety Alignment For Large Language Models May Backfire!, by Zhanhui Zhou et al.
Summary of Lora+: Efficient Low Rank Adaptation Of Large Models, by Soufiane Hayou et al.
Summary of A Critical Evaluation Of Ai Feedback For Aligning Large Language Models, by Archit Sharma et al.
Summary of Fit: Flexible Vision Transformer For Diffusion Model, by Zeyu Lu et al.
Summary of Primary and Secondary Factor Consistency As Domain Knowledge to Guide Happiness Computing in Online Assessment, by Xiaohua Wu and Lin Li and Xiaohui Tao and Frank Xing and Jingling Yuan
Summary of Multi-class Temporal Logic Neural Networks, by Danyang Li et al.
Summary of Teacher As a Lenient Expert: Teacher-agnostic Data-free Knowledge Distillation, by Hyunjune Shin et al.
Summary of Endowing Pre-trained Graph Models with Provable Fairness, by Zhongjian Zhang et al.
Summary of Mafin: Enhancing Black-box Embeddings with Model Augmented Fine-tuning, by Mingtian Zhang et al.
Summary of Learning Discretized Bayesian Networks with Gomea, by Damy M.f. Ha et al.
Summary of Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning Via Adversarial Training, by Leo Hyun Park et al.
Summary of Revisiting Data Augmentation in Deep Reinforcement Learning, by Jianshu Hu et al.
Summary of Zero Shot Vlms For Hate Meme Detection: Are We There Yet?, by Naquee Rizwan et al.
Summary of Amplifying Training Data Exposure Through Fine-tuning with Pseudo-labeled Memberships, by Myung Gyo Oh et al.
Summary of Dictionary Learning Improves Patch-free Circuit Discovery in Mechanistic Interpretability: a Case Study on Othello-gpt, by Zhengfu He et al.
Summary of Reformatted Alignment, by Run-ze Fan et al.
Summary of Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators For Ordinary Differential Equations, by Jonas Beck et al.
Summary of Anygpt: Unified Multimodal Llm with Discrete Sequence Modeling, by Jun Zhan et al.
Summary of Kernel Kmeans Clustering Splits For End-to-end Unsupervised Decision Trees, by Louis Ohl et al.
Summary of The Fundamental Limits Of Least-privilege Learning, by Theresa Stadler et al.
Summary of Convergence Of Gradient Descent For Recurrent Neural Networks: a Nonasymptotic Analysis, by Semih Cayci et al.
Summary of Bears Make Neuro-symbolic Models Aware Of Their Reasoning Shortcuts, by Emanuele Marconato and Samuele Bortolotti and Emile Van Krieken and Antonio Vergari and Andrea Passerini and Stefano Teso
Summary of Learning to Defer in Content Moderation: the Human-ai Interplay, by Thodoris Lykouris et al.
Summary of Synthetic Location Trajectory Generation Using Categorical Diffusion Models, by Simon Dirmeier and Ye Hong and Fernando Perez-cruz
Summary of Non-orthogonal Age-optimal Information Dissemination in Vehicular Networks: a Meta Multi-objective Reinforcement Learning Approach, by A. A. Habob et al.
Summary of Towards a Tailored Mixed-precision Sub-8-bit Quantization Scheme For Gated Recurrent Units Using Genetic Algorithms, by Riccardo Miccini et al.
Summary of Uncertainty Quantification in Fine-tuned Llms Using Lora Ensembles, by Oleksandr Balabanov et al.
Summary of The Effect Of Leaky Relus on the Training and Generalization Of Overparameterized Networks, by Yinglong Guo et al.
Summary of Db-llm: Accurate Dual-binarization For Efficient Llms, by Hong Chen et al.
Summary of Imbalance in Regression Datasets, by Daniel Kowatsch et al.
Summary of Privacy-preserving Low-rank Adaptation Against Membership Inference Attacks For Latent Diffusion Models, by Zihao Luo et al.
Summary of Network Inversion Of Binarised Neural Nets, by Pirzada Suhail et al.
Summary of Iscute: Instance Segmentation Of Cables Using Text Embedding, by Shir Kozlovsky et al.
Summary of Cluster Metric Sensitivity to Irrelevant Features, by Miles Mccrory and Spencer A. Thomas
Summary of Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models, by Himanshu Beniwal et al.
Summary of Training Green Ai Models Using Elite Samples, by Mohammed Alswaitti et al.
Summary of Distilling Large Language Models For Text-attributed Graph Learning, by Bo Pan et al.
Summary of When Do Off-policy and On-policy Policy Gradient Methods Align?, by Davide Mambelli et al.
Summary of Class-incremental Learning For Time Series: Benchmark and Evaluation, by Zhongzheng Qiao et al.
Summary of Self-amplify: Improving Small Language Models with Self Post Hoc Explanations, by Milan Bhan and Jean-noel Vittaut and Nicolas Chesneau and Marie-jeanne Lesot
Summary of Linear Bandits with Polylogarithmic Minimax Regret, by Josep Lumbreras et al.
Summary of All Language Models Large and Small, by Zhixun Chen et al.
Summary of Enabling Weak Llms to Judge Response Reliability Via Meta Ranking, by Zijun Liu et al.
Summary of Wkvquant: Quantizing Weight and Key/value Cache For Large Language Models Gains More, by Yuxuan Yue et al.