Paper List

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Summary of Sampleattention: Near-lossless Acceleration Of Long Context Llm Inference with Adaptive Structured Sparse Attention, by Qianchao Zhu et al.
Summary of Improving Text-to-audio Models with Synthetic Captions, by Zhifeng Kong et al.
Summary of Causal Discovery Inspired Unsupervised Domain Adaptation For Emotion-cause Pair Extraction, by Yuncheng Hua et al.
Summary of Hidden Variables Unseen by Random Forests, By Ricardo Blum et al.
Summary of Neural Incremental Data Assimilation, by Matthieu Blanke et al.
Summary of Latent Space Translation Via Inverse Relative Projection, by Valentino Maiorca et al.
Summary of Goal: a Generalist Combinatorial Optimization Agent Learner, by Darko Drakulic et al.
Summary of How Intermodal Interaction Affects the Performance Of Deep Multimodal Fusion For Mixed-type Time Series, by Simon Dietz et al.
Summary of Hlq: Fast and Efficient Backpropagation Via Hadamard Low-rank Quantization, by Seonggon Kim et al.
Summary of Brain-like Language Processing Via a Shallow Untrained Multihead Attention Network, by Badr Alkhamissi et al.
Summary of Investigating the Impact Of 2d Gesture Representation on Co-speech Gesture Generation, by Teo Guichoux et al.
Summary of A Provably Efficient Option-based Algorithm For Both High-level and Low-level Learning, by Gianluca Drappo et al.
Summary of Embracing Federated Learning: Enabling Weak Client Participation Via Partial Model Training, by Sunwoo Lee et al.
Summary of Kalmamba: Towards Efficient Probabilistic State Space Models For Rl Under Uncertainty, by Philipp Becker et al.
Summary of Younger: the First Dataset For Artificial Intelligence-generated Neural Network Architecture, by Zhengxin Yang et al.
Summary of Generative Topological Networks, by Alona Levy-jurgenson et al.
Summary of Perks and Pitfalls Of Faithfulness in Regular, Self-explainable and Domain Invariant Gnns, by Steve Azzolin et al.
Summary of Backdooring Bias Into Text-to-image Models, by Ali Naseh et al.
Summary of Synthetic Lyrics Detection Across Languages and Genres, by Yanis Labrak et al.
Summary of Adagrad Under Anisotropic Smoothness, by Yuxing Liu et al.
Summary of Unsupervised Morphological Tree Tokenizer, by Qingyang Zhu et al.
Summary of Open Problem: Order Optimal Regret Bounds For Kernel-based Reinforcement Learning, by Sattar Vakili
Summary of Ft-aed: Benchmark Dataset For Early Freeway Traffic Anomalous Event Detection, by Austin Coursey et al.
Summary of Pessimistic Asynchronous Sampling in High-cost Bayesian Optimization, by Amanda A. Volk et al.
Summary of Moa: Mixture Of Sparse Attention For Automatic Large Language Model Compression, by Tianyu Fu et al.
Summary of Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: a Two-phase Deep Reinforcement Learning Approach, by Xiaojing Chen et al.
Summary of Demonstrating the Efficacy Of Kolmogorov-arnold Networks in Vision Tasks, by Minjong Cheon
Summary of Llm2fea: Discover Novel Designs with Generative Evolutionary Multitasking, by Melvin Wong et al.
Summary of On the Growth Of the Parameters Of Approximating Relu Neural Networks, by Erion Morina and Martin Holler
Summary of Efficient Graph Similarity Computation with Alignment Regularization, by Wei Zhuo et al.
Summary of An Idiosyncrasy Of Time-discretization in Reinforcement Learning, by Kris De Asis et al.
Summary of Deep Imbalanced Regression to Estimate Vascular Age From Ppg Data: a Novel Digital Biomarker For Cardiovascular Health, by Guangkun Nie et al.
Summary of Unlocking the Global Synergies in Low-rank Adapters, by Zixi Zhang et al.
Summary of Optimised Grouped-query Attention Mechanism For Transformers, by Yuang Chen et al.
Summary of Uni-mol2: Exploring Molecular Pretraining Model at Scale, by Xiaohong Ji et al.
Summary of Domain Adaptation Of Llama3-70b-instruct Through Continual Pre-training and Model Merging: a Comprehensive Evaluation, by Shamane Siriwardhana et al.
Summary of Hierarchical Thematic Classification Of Major Conference Proceedings, by Arsentii Kuzmin et al.
Summary of Differentiable and Learnable Wireless Simulation with Geometric Transformers, by Thomas Hehn et al.
Summary of Using Neural Networks For Data Cleaning in Weather Datasets, by Jack R. P. Hanslope et al.
Summary of Behaviour Distillation, by Andrei Lupu et al.
Summary of Sit: Symmetry-invariant Transformers For Generalisation in Reinforcement Learning, by Matthias Weissenbacher et al.
Summary of Discovering Common Information in Multi-view Data, by Qi Zhang et al.
Summary of From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning, by Adnan Ali et al.
Summary of Tri-vqa: Triangular Reasoning Medical Visual Question Answering For Multi-attribute Analysis, by Lin Fan et al.
Summary of Regularized Distribution Matching Distillation For One-step Unpaired Image-to-image Translation, by Denis Rakitin et al.
Summary of Chatgpt As Research Scientist: Probing Gpt’s Capabilities As a Research Librarian, Research Ethicist, Data Generator and Data Predictor, by Steven A. Lehr et al.
Summary of Active Learning For Fair and Stable Online Allocations, by Riddhiman Bhattacharya et al.
Summary of Learning to Cover: Online Learning and Optimization with Irreversible Decisions, by Alexandre Jacquillat et al.
Summary of Understanding Finetuning For Factual Knowledge Extraction, by Gaurav Ghosal et al.
Summary of Graph Structure Learning with Interpretable Bayesian Neural Networks, by Max Wasserman et al.
Summary of Mu-bench: a Multitask Multimodal Benchmark For Machine Unlearning, by Jiali Cheng et al.
Summary of Latent Diffusion Models For Parameterization and Data Assimilation Of Facies-based Geomodels, by Guido Di Federico et al.
Summary of Tovo: Toxicity Taxonomy Via Voting, by Tinh Son Luong et al.
Summary of Bayesian Neural Networks For Predicting Uncertainty in Full-field Material Response, by George D. Pasparakis et al.
Summary of Dn-cl: Deep Symbolic Regression Against Noise Via Contrastive Learning, by Jingyi Liu et al.
Summary of Graph Edge Representation Via Tensor Product Graph Convolutional Representation, by Bo Jiang et al.
Summary of Latentexplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models, by Mengdan Zhu et al.
Summary of Accessible, At-home Detection Of Parkinson’s Disease Via Multi-task Video Analysis, by Md Saiful Islam et al.
Summary of A Review Of Feature Selection Strategies Utilizing Graph Data Structures and Knowledge Graphs, by Sisi Shao et al.
Summary of Investigating the Transferability Of Code Repair For Low-resource Programming Languages, by Kyle Wong et al.
Summary of Direct Multi-turn Preference Optimization For Language Agents, by Wentao Shi et al.
Summary of Mos: Model Synergy For Test-time Adaptation on Lidar-based 3d Object Detection, by Zhuoxiao Chen et al.
Summary of Training Greedy Policy For Proposal Batch Selection in Expensive Multi-objective Combinatorial Optimization, by Deokjae Lee et al.
Summary of Pathformer: Recursive Path Query Encoding For Complex Logical Query Answering, by Chongzhi Zhang et al.
Summary of Model Merging and Safety Alignment: One Bad Model Spoils the Bunch, by Hasan Abed Al Kader Hammoud et al.
Summary of Physics-informed Neural Networks For Parameter Learning Of Wildfire Spreading, by Konstantinos Vogiatzoglou et al.
Summary of Harvesting Efficient On-demand Order Pooling From Skilled Couriers: Enhancing Graph Representation Learning For Refining Real-time Many-to-one Assignments, by Yile Liang et al.
Summary of Enhancing Dropout-based Bayesian Neural Networks with Multi-exit on Fpga, by Hao Mark Chen et al.
Summary of Vlm Agents Generate Their Own Memories: Distilling Experience Into Embodied Programs Of Thought, by Gabriel Sarch et al.
Summary of Major Entity Identification: a Generalizable Alternative to Coreference Resolution, by Kawshik Manikantan et al.
Summary of Opendebateevidence: a Massive-scale Argument Mining and Summarization Dataset, by Allen Roush et al.
Summary of Exploring Design Choices For Building Language-specific Llms, by Atula Tejaswi et al.
Summary of This Looks Better Than That: Better Interpretable Models with Protopnext, by Frank Willard et al.
Summary of Advantage Alignment Algorithms, by Juan Agustin Duque et al.
Summary of Taglas: An Atlas Of Text-attributed Graph Datasets in the Era Of Large Graph and Language Models, by Jiarui Feng et al.
Summary of A Contrastive Learning Approach to Mitigate Bias in Speech Models, by Alkis Koudounas et al.
Summary of A Benchmark Study Of Deep-rl Methods For Maximum Coverage Problems Over Graphs, by Zhicheng Liang et al.
Summary of An Advanced Physics-informed Neural Operator For Comprehensive Design Optimization Of Highly-nonlinear Systems: An Aerospace Composites Processing Case Study, by Milad Ramezankhani et al.
Summary of Preferential Multi-objective Bayesian Optimization, by Raul Astudillo et al.
Summary of Pathological Regularization Regimes in Classification Tasks, by Maximilian Wiesmann et al.
Summary of Latent Variable Sequence Identification For Cognitive Models with Neural Network Estimators, by Ti-fen Pan et al.
Summary of Behavior-inspired Neural Networks For Relational Inference, by Yulong Yang et al.
Summary of A General Control-theoretic Approach For Reinforcement Learning: Theory and Algorithms, by Weiqin Chen et al.
Summary of An Llm Feature-based Framework For Dialogue Constructiveness Assessment, by Lexin Zhou et al.
Summary of Collafuse: Collaborative Diffusion Models, by Simeon Allmendinger et al.
Summary of Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems For Smart Homes, by Shruthi K. Hiremath and Thomas Ploetz
Summary of Capturing Temporal Components For Time Series Classification, by Venkata Ragavendra Vavilthota et al.
Summary of Centimeter Positioning Accuracy Using Ai/ml For 6g Applications, by Sai Prasanth Kotturi et al.
Summary of Data-centric Ai in the Age Of Large Language Models, by Xinyi Xu et al.
Summary of Tracing Representation Progression: Analyzing and Enhancing Layer-wise Similarity, by Jiachen Jiang and Jinxin Zhou and Zhihui Zhu
Summary of Revealing Vision-language Integration in the Brain with Multimodal Networks, by Vighnesh Subramaniam et al.
Summary of Valid Error Bars For Neural Weather Models Using Conformal Prediction, by Vignesh Gopakumar et al.
Summary of Rkan: Rational Kolmogorov-arnold Networks, by Alireza Afzal Aghaei
Summary of On Newton’s Method to Unlearn Neural Networks, by Nhung Bui et al.
Summary of Postmark: a Robust Blackbox Watermark For Large Language Models, by Yapei Chang et al.
Summary of Fantastic Copyrighted Beasts and How (not) to Generate Them, by Luxi He et al.
Summary of Decimamba: Exploring the Length Extrapolation Potential Of Mamba, by Assaf Ben-kish et al.
Summary of A Benchmarking Study Of Kolmogorov-arnold Networks on Tabular Data, by Eleonora Poeta et al.
Summary of Rl on Incorrect Synthetic Data Scales the Efficiency Of Llm Math Reasoning by Eight-fold, By Amrith Setlur et al.
Summary of Macrohft: Memory Augmented Context-aware Reinforcement Learning on High Frequency Trading, by Chuqiao Zong et al.