Paper List

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Summary of Diversity-aware Reinforcement Learning For De Novo Drug Design, by Hampus Gummesson Svensson et al.
Summary of Mobility-aware Federated Learning: Multi-armed Bandit Based Selection in Vehicular Network, by Haoyu Tu et al.
Summary of Tabcf: Counterfactual Explanations For Tabular Data Using a Transformer-based Vae, by Emmanouil Panagiotou et al.
Summary of Identity-focused Inference and Extraction Attacks on Diffusion Models, by Jayneel Vora et al.
Summary of Guise: Graph Gaussian Shading Watermark, by Renyi Yang
Summary of Is Parameter Collision Hindering Continual Learning in Llms?, by Shuo Yang and Kun-peng Ning and Yu-yang Liu and Jia-yu Yao and Yong-hong Tian and Yi-bing Song and Li Yuan
Summary of Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior, by Mingyuan Yan et al.
Summary of Predicting From Strings: Language Model Embeddings For Bayesian Optimization, by Tung Nguyen et al.
Summary of Fed-pilot: Optimizing Lora Assignment For Efficient Federated Foundation Model Fine-tuning, by Zikai Zhang et al.
Summary of Large Language Model-enhanced Reinforcement Learning For Generic Bus Holding Control Strategies, by Jiajie Yu et al.
Summary of Skillaggregation: Reference-free Llm-dependent Aggregation, by Guangzhi Sun et al.
Summary of Revisiting and Benchmarking Graph Autoencoders: a Contrastive Learning Perspective, by Jintang Li et al.
Summary of Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data, by Matthew Drnevich et al.
Summary of Learning Via Surrogate Pac-bayes, by Antoine Picard-weibel and Roman Moscoviz and Benjamin Guedj
Summary of Feedback Favors the Generalization Of Neural Odes, by Jindou Jia and Zihan Yang and Meng Wang and Kexin Guo and Jianfei Yang and Xiang Yu and Lei Guo
Summary of Measurability in the Fundamental Theorem Of Statistical Learning, by Lothar Sebastian Krapp and Laura Wirth
Summary of Lolcats: on Low-rank Linearizing Of Large Language Models, by Michael Zhang et al.
Summary of Quis: Question-guided Insights Generation For Automated Exploratory Data Analysis, by Abhijit Manatkar et al.
Summary of Matrix Sketching in Bandits: Current Pitfalls and New Framework, by Dongxie Wen et al.
Summary of Abba-vsm: Time Series Classification Using Symbolic Representation on the Edge, by Meerzhan Kanatbekova et al.
Summary of A Multi-task Text Classification Pipeline with Natural Language Explanations: a User-centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets, by Nikolaos Mylonas et al.
Summary of Qianets: Quantum-integrated Adaptive Networks For Reduced Latency and Improved Inference Times in Cnn Models, by Zhumazhan Balapanov et al.
Summary of Dirw: Path-aware Digraph Learning For Heterophily, by Daohan Su et al.
Summary of Fasthdmi: Fast Mutual Information Estimation For High-dimensional Data, by Kai Yang et al.
Summary of Pointnet with Kan Versus Pointnet with Mlp For 3d Classification and Segmentation Of Point Sets, by Ali Kashefi
Summary of Promptgcn: Bridging Subgraph Gaps in Lightweight Gcns, by Shengwei Ji et al.
Summary of Queueing Matching Bandits with Preference Feedback, by Jung-hun Kim et al.
Summary of How to Leverage Demonstration Data in Alignment For Large Language Model? a Self-imitation Learning Perspective, by Teng Xiao et al.
Summary of Learning Linear Attention in Polynomial Time, by Morris Yau et al.
Summary of Mixture Of Experts Made Personalized: Federated Prompt Learning For Vision-language Models, by Jun Luo et al.
Summary of Edge Unlearning Is Not “on Edge”! An Adaptive Exact Unlearning System on Resource-constrained Devices, by Xiaoyu Xia et al.
Summary of Stable Hadamard Memory: Revitalizing Memory-augmented Agents For Reinforcement Learning, by Hung Le et al.
Summary of Physical Consistency Bridges Heterogeneous Data in Molecular Multi-task Learning, by Yuxuan Ren et al.
Summary of Formalalign: Automated Alignment Evaluation For Autoformalization, by Jianqiao Lu et al.
Summary of Variational Autoencoders with Latent High-dimensional Steady Geometric Flows For Dynamics, by Andrew Gracyk
Summary of Mmie: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-language Models, by Peng Xia et al.
Summary of Unified Representation Of Genomic and Biomedical Concepts Through Multi-task, Multi-source Contrastive Learning, by Hongyi Yuan et al.
Summary of Fast and Accurate Neural Rendering Using Semi-gradients, by In-young Cho et al.
Summary of Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?, by Xilin Yang
Summary of Improved Regret Bound For Safe Reinforcement Learning Via Tighter Cost Pessimism and Reward Optimism, by Kihyun Yu et al.
Summary of Hsr-enhanced Sparse Attention Acceleration, by Bo Chen et al.
Summary of Automated Filtering Of Human Feedback Data For Aligning Text-to-image Diffusion Models, by Yongjin Yang et al.
Summary of Balanced Neural Odes: Nonlinear Model Order Reduction and Koopman Operator Approximations, by Julius Aka et al.
Summary of Eitnet: An Iot-enhanced Framework For Real-time Basketball Action Recognition, by Jingyu Liu et al.
Summary of Deep-ace: Lstm-based Prokaryotic Lysine Acetylation Site Predictor, by Maham Ilyas et al.
Summary of Improving 3d Few-shot Segmentation with Inference-time Pseudo-labeling, by Mohammad Mozafari et al.
Summary of Make the Pertinent Salient: Task-relevant Reconstruction For Visual Control with Distractions, by Kyungmin Kim et al.
Summary of Gradient Span Algorithms Make Predictable Progress in High Dimension, by Felix Benning et al.
Summary of Hardmath: a Benchmark Dataset For Challenging Problems in Applied Mathematics, by Jingxuan Fan et al.
Summary of Self-data Distillation For Recovering Quality in Pruned Large Language Models, by Vithursan Thangarasa et al.
Summary of A Holistic Weakly Supervised Approach For Liver Tumor Segmentation with Clinical Knowledge-informed Label Smoothing, by Hairong Wang et al.
Summary of Improving Accuracy and Convergence Of Federated Learning Edge Computing Methods For Generalized Der Forecasting Applications in Power Grid, by Vineet Jagadeesan Nair et al.
Summary of Tapweight: Reweighting Pretraining Objectives For Task-adaptive Pretraining, by Ruiyi Zhang et al.
Summary of Online Multi-modal Root Cause Analysis, by Lecheng Zheng et al.
Summary of Sharper Guarantees For Learning Neural Network Classifiers with Gradient Methods, by Hossein Taheri et al.
Summary of Dag-aware Transformer For Causal Effect Estimation, by Manqing Liu et al.
Summary of Wormkan: Are Kan Effective For Identifying and Tracking Concept Drift in Time Series?, by Kunpeng Xu et al.
Summary of Statiocl: Contrastive Learning For Time Series Via Non-stationary and Temporal Contrast, by Yu Wu et al.
Summary of Towards Bridging Generalization and Expressivity Of Graph Neural Networks, by Shouheng Li et al.
Summary of The Epochal Sawtooth Effect: Unveiling Training Loss Oscillations in Adam and Other Optimizers, by Qi Liu et al.
Summary of Self-organizing Recurrent Stochastic Configuration Networks For Nonstationary Data Modelling, by Gang Dang and Dianhui Wang
Summary of Divide, Reweight, and Conquer: a Logit Arithmetic Approach For In-context Learning, by Chengsong Huang et al.
Summary of Videoagent: Self-improving Video Generation, by Achint Soni et al.
Summary of Simultaneous Computation and Memory Efficient Zeroth-order Optimizer For Fine-tuning Large Language Models, by Fei Wang et al.
Summary of Learning Pattern-specific Experts For Time Series Forecasting Under Patch-level Distribution Shift, by Yanru Sun et al.
Summary of Uncovering, Explaining, and Mitigating the Superficial Safety Of Backdoor Defense, by Rui Min et al.
Summary of Symmetry Discovery For Different Data Types, by Lexiang Hu et al.
Summary of Towards Characterizing the Value Of Edge Embeddings in Graph Neural Networks, by Dhruv Rohatgi et al.
Summary of Provably Reliable Conformal Prediction Sets in the Presence Of Data Poisoning, by Yan Scholten et al.
Summary of Improving Colorectal Cancer Screening and Risk Assessment Through Predictive Modeling on Medical Images and Records, by Shuai Jiang et al.
Summary of Inductive Conformal Prediction Under Data Scarcity: Exploring the Impacts Of Nonconformity Measures, by Yuko Kato et al.
Summary of Multi Class Activity Classification in Videos Using Motion History Image Generation, by Senthilkumar Gopal
Summary of Retrieval Instead Of Fine-tuning: a Retrieval-based Parameter Ensemble For Zero-shot Learning, by Pengfei Jin et al.
Summary of Unseg: One Universal Unlearnable Example Generator Is Enough Against All Image Segmentation, by Ye Sun et al.
Summary of Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces, By Dijia Su et al.
Summary of Fedecado: a Dynamical System Model Of Federated Learning, by Aayushya Agarwal et al.
Summary of A Resource-efficient Model For Deep Kernel Learning, by Luisa D’amore
Summary of Robust Identifiability For Symbolic Recovery Of Differential Equations, by Hillary Hauger et al.
Summary of How to Unlearn a Learned Machine Learning Model ?, by Seifeddine Achour
Summary of Generalized Group Data Attribution, by Dan Ley et al.
Summary of Dynamic Estimation Of Learning Rates Using a Non-linear Autoregressive Model, by Ramin Okhrati
Summary of Variational Diffusion Posterior Sampling with Midpoint Guidance, by Badr Moufad et al.
Summary of Lower-dimensional Projections Of Cellular Expression Improves Cell Type Classification From Single-cell Rna Sequencing, by Muhammad Umar et al.
Summary of Can In-context Learning Really Generalize to Out-of-distribution Tasks?, by Qixun Wang et al.
Summary of Scalable Weibull Graph Attention Autoencoder For Modeling Document Networks, by Chaojie Wang et al.
Summary of Provable Convergence and Limitations Of Geometric Tempering For Langevin Dynamics, by Omar Chehab et al.
Summary of Echoprime: a Multi-video View-informed Vision-language Model For Comprehensive Echocardiography Interpretation, by Milos Vukadinovic et al.
Summary of Transformers As Game Players: Provable In-context Game-playing Capabilities Of Pre-trained Models, by Chengshuai Shi et al.
Summary of Control the Gnn: Utilizing Neural Controller with Lyapunov Stability For Test-time Feature Reconstruction, by Jielong Yang et al.
Summary of A Tidal Current Speed Forecasting Model Based on Multi-periodicity Learning, by Tengfei Cheng et al.
Summary of Am-sam: Automated Prompting and Mask Calibration For Segment Anything Model, by Yuchen Li et al.
Summary of Meta-reinforcement Learning with Universal Policy Adaptation: Provable Near-optimality Under All-task Optimum Comparator, by Siyuan Xu and Minghui Zhu
Summary of Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors, by Junru Zhou et al.
Summary of Gradient-free Neural Network Training on the Edge, by Dotan Di Castro et al.
Summary of Real-time Fuel Leakage Detection Via Online Change Point Detection, by Ruimin Chu et al.
Summary of T-readi: Transformer-powered Robust and Efficient Multimodal Inference For Autonomous Driving, by Pengfei Hu et al.
Summary of Simba: Simplicity Bias For Scaling Up Parameters in Deep Reinforcement Learning, by Hojoon Lee et al.
Summary of Comparison Of Machine Learning Approaches For Classifying Spinodal Events, by Ashwini Malviya et al.
Summary of Bidora: Bi-level Optimization-based Weight-decomposed Low-rank Adaptation, by Peijia Qin et al.
Summary of Targeted Vaccine: Safety Alignment For Large Language Models Against Harmful Fine-tuning Via Layer-wise Perturbation, by Guozhi Liu et al.