Paper List

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Summary of Residualdroppath: Enhancing Feature Reuse Over Residual Connections, by Sejik Park
Summary of Developement Of Reinforcement Learning Based Optimisation Method For Side-sill Design, by Aditya Borse et al.
Summary of Golden Noise For Diffusion Models: a Learning Framework, by Zikai Zhou and Shitong Shao and Lichen Bai and Zhiqiang Xu and Bo Han and Zeke Xie
Summary of Optimisation Strategies For Ensuring Fairness in Machine Learning: with and Without Demographics, by Quan Zhou
Summary of Minimax Optimal Two-sample Testing Under Local Differential Privacy, by Jongmin Mun et al.
Summary of Chai For Llms: Improving Code-mixed Translation in Large Language Models Through Reinforcement Learning with Ai Feedback, by Wenbo Zhang et al.
Summary of Continuous Gnn-based Anomaly Detection on Edge Using Efficient Adaptive Knowledge Graph Learning, by Sanggeon Yun et al.
Summary of Drone Detection Using Deep Neural Networks Trained on Pure Synthetic Data, by Mariusz Wisniewski et al.
Summary of Reducing Reasoning Costs: the Path Of Optimization For Chain Of Thought Via Sparse Attention Mechanism, by Libo Wang
Summary of Efficiently Learning and Sampling Multimodal Distributions with Data-based Initialization, by Frederic Koehler et al.
Summary of Neural Graph Simulator For Complex Systems, by Hoyun Choi et al.
Summary of Complexity-aware Training Of Deep Neural Networks For Optimal Structure Discovery, by Valentin Frank Ingmar Guenter and Athanasios Sideris
Summary of Grainrec: Graph and Attention Integrated Approach For Real-time Session-based Item Recommendations, by Bhavtosh Rath et al.
Summary of Laplace Transform Interpretation Of Differential Privacy, by Rishav Chourasia et al.
Summary of Rationality Based Innate-values-driven Reinforcement Learning, by Qin Yang
Summary of Advancing Diffusion Models: Alias-free Resampling and Enhanced Rotational Equivariance, by Md Fahim Anjum
Summary of Hybrid Deep Additive Neural Networks, by Gyu Min Kim and Jeong Min Jeon
Summary of Towards Scalable Handwriting Communication Via Eeg Decoding and Latent Embedding Integration, by Jun-young Kim et al.
Summary of Safes: Sequential Privacy and Fairness Enhancing Data Synthesis For Responsible Ai, by Spencer Giddens et al.
Summary of Rethinking the “heatmap + Monte Carlo Tree Search” Paradigm For Solving Large Scale Tsp, by Xuanhao Pan et al.
Summary of Dynamic Technology Impact Analysis: a Multi-task Learning Approach to Patent Citation Prediction, by Youngjin Seol et al.
Summary of Ghost-connect Net: a Generalization-enhanced Guidance For Sparse Deep Networks Under Distribution Shifts, by Mary Isabelle Wisell et al.
Summary of Fluidml: Fast and Memory Efficient Inference Optimization, by Jinjie Liu et al.
Summary of Process-aware Human Activity Recognition, by Jiawei Zheng et al.
Summary of Locally Private Sampling with Public Data, by Behnoosh Zamanlooy et al.
Summary of Oblique Bayesian Additive Regression Trees, by Paul-hieu V. Nguyen and Ryan Yee and Sameer K. Deshpande
Summary of Model Agnostic Local Variable Importance For Locally Dependent Relationships, by Kelvyn K. Bladen et al.
Summary of Llmstinger: Jailbreaking Llms Using Rl Fine-tuned Llms, by Piyush Jha et al.
Summary of Unsupervised Parameter-free Outlier Detection Using Hdbscan* Outlier Profiles, by Kushankur Ghosh et al.
Summary of The Limited Impact Of Medical Adaptation Of Large Language and Vision-language Models, by Daniel P. Jeong et al.
Summary of A Short Note on Evaluating Repnet For Temporal Repetition Counting in Videos, by Debidatta Dwibedi et al.
Summary of Aligning Visual Contrastive Learning Models Via Preference Optimization, by Amirabbas Afzali et al.
Summary of Confidence-aware Denoised Fine-tuning Of Off-the-shelf Models For Certified Robustness, by Suhyeok Jang et al.
Summary of Dual-head Knowledge Distillation: Enhancing Logits Utilization with An Auxiliary Head, by Penghui Yang et al.
Summary of Sparse Upcycling: Inference Inefficient Finetuning, by Sasha Doubov et al.
Summary of Lynx: Enabling Efficient Moe Inference Through Dynamic Batch-aware Expert Selection, by Vima Gupta et al.
Summary of Parameter Inference Via Differentiable Diffusion Bridge Importance Sampling, by Nicklas Boserup et al.
Summary of Microfoundation Inference For Strategic Prediction, by Daniele Bracale et al.
Summary of Refusal in Llms Is An Affine Function, by Thomas Marshall et al.
Summary of Bridging the Visual Gap: Fine-tuning Multimodal Models with Knowledge-adapted Captions, by Moran Yanuka et al.
Summary of Transformer-based Time-series Biomarker Discovery For Copd Diagnosis, by Soham Gadgil et al.
Summary of Anomaly Detection in Large-scale Cloud Systems: An Industry Case and Dataset, by Mohammad Saiful Islam and Mohamed Sami Rakha and William Pourmajidi and Janakan Sivaloganathan and John Steinbacher and Andriy Miranskyy
Summary of Safeloc: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning For Indoor Localization, by Akhil Singampalli et al.
Summary of Leveraging Pre-trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits, by Jun Qi et al.
Summary of Corrsynth — a Correlated Sampling Method For Diverse Dataset Generation From Llms, by Suhas S Kowshik et al.
Summary of Deepuq: Assessing the Aleatoric Uncertainties From Two Deep Learning Methods, by Rebecca Nevin et al.
Summary of A Preview Of Xiyan-sql: a Multi-generator Ensemble Framework For Text-to-sql, by Yingqi Gao et al.
Summary of Dynamic Subset Tuning: Expanding the Operational Range Of Parameter-efficient Training For Large Language Models, by Felix Stahlberg et al.
Summary of Deep Generative Demand Learning For Newsvendor and Pricing, by Shijin Gong et al.
Summary of Estimating Unknown Parameters in Differential Equations with a Reinforcement Learning Based Pso Method, by Wenkui Sun et al.
Summary of Gaussian Mixture Models Based Augmentation Enhances Gnn Generalization, by Yassine Abbahaddou et al.
Summary of Accelerating Quasi-static Time Series Simulations with Foundation Models, by Alban Puech et al.
Summary of Unimat: Unifying Materials Embeddings Through Multi-modal Learning, by Janghoon Ock et al.
Summary of Measuring Similarity Between Embedding Spaces Using Induced Neighborhood Graphs, by Tiago F. Tavares et al.
Summary of Fedsub: Introducing Class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems, by Mattia Giovanni Campana and Franca Delmastro
Summary of Trace: Transformer-based Risk Assessment For Clinical Evaluation, by Dionysis Christopoulos et al.
Summary of Mvktrans: Multi-view Knowledge Transfer For Robust Multiomics Classification, by Shan Cong et al.
Summary of Balancing Speed and Stability: the Trade-offs Of Fp8 Vs. Bf16 Training in Llms, by Kazuki Fujii et al.
Summary of Weakly-supervised Anomaly Detection in Surveillance Videos Based on Two-stream I3d Convolution Network, by Sareh Soltani Nejad et al.
Summary of Scalenet: Scale Invariance Learning in Directed Graphs, by Qin Jiang et al.
Summary of Flow Reconstruction in Time-varying Geometries Using Graph Neural Networks, by Bogdan A. Danciu et al.
Summary of Mapping Methane — the Impact Of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning, by Hanqing Bi et al.
Summary of Can Sparse Autoencoders Be Used to Decompose and Interpret Steering Vectors?, by Harry Mayne et al.
Summary of Sddbench: a Benchmark For Synthesizable Drug Design, by Songtao Liu et al.
Summary of Conditional Variable Flow Matching: Transforming Conditional Densities with Amortized Conditional Optimal Transport, by Adam P. Generale et al.
Summary of Are Llms Prescient? a Continuous Evaluation Using Daily News As the Oracle, by Hui Dai et al.
Summary of Neural Conjugate Flows: Physics-informed Architectures with Flow Structure, by Arthur Bizzi et al.
Summary of Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification, by Shayekh Bin Islam et al.
Summary of Federated Graph Learning with Graphless Clients, by Xingbo Fu et al.
Summary of Coverage Analysis For Digital Cousin Selection — Improving Multi-environment Q-learning, by Talha Bozkus et al.
Summary of Physics Informed Distillation For Diffusion Models, by Joshua Tian Jin Tee et al.
Summary of Interpretable Syntactic Representations Enable Hierarchical Word Vectors, by Biraj Silwal
Summary of Clasp: Learning Concepts For Time-series Signals From Natural Language Supervision, by Aoi Ito et al.
Summary of Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning, by Chao Huang and Chunyan Chen and Ling Shi and Chen Chen
Summary of Properties Of Fairness Measures in the Context Of Varying Class Imbalance and Protected Group Ratios, by Dariusz Brzezinski et al.
Summary of One Step at a Time: Language Agents Are Stepwise Planners, by Minh Nguyen et al.
Summary of Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using Lora, By Laiqiao Qin et al.
Summary of Learning Model Agnostic Explanations Via Constraint Programming, by Frederic Koriche et al.
Summary of Methodology For a Statistical Analysis Of Influencing Factors on 3d Object Detection Performance, by Anton Kuznietsov et al.
Summary of Towards Operationalizing Right to Data Protection, by Abhinav Java et al.
Summary of Sad-time: a Spatiotemporal-fused Network For Depression Detection with Automated Multi-scale Depth-wise and Time-interval-related Common Feature Extractor, by Han-guang Wang et al.
Summary of Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks, by Azmine Toushik Wasi and Md Shafikul Islam and Adipto Raihan Akib and Mahathir Mohammad Bappy
Summary of Efficient Whole Slide Image Classification Through Fisher Vector Representation, by Ravi Kant Gupta et al.
Summary of Llmphy: Complex Physical Reasoning Using Large Language Models and World Models, by Anoop Cherian et al.
Summary of Deep Learning 2.0: Artificial Neurons That Matter — Reject Correlation, Embrace Orthogonality, by Taha Bouhsine
Summary of A Tale Of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing, by Zeyu Bian et al.
Summary of Equitable Length Of Stay Prediction For Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning, by Emeka Abakasanga et al.
Summary of Impactful Bit-flip Search on Full-precision Models, by Nadav Benedek et al.
Summary of On the Role Of Speech Data in Reducing Toxicity Detection Bias, by Samuel J. Bell et al.
Summary of Eapcr: a Universal Feature Extractor For Scientific Data Without Explicit Feature Relation Patterns, by Zhuohang Yu et al.
Summary of Tackling Polysemanticity with Neuron Embeddings, by Alex Foote
Summary of Multi-agent Stochastic Bandits Robust to Adversarial Corruptions, by Fatemeh Ghaffari et al.
Summary of What Representational Similarity Measures Imply About Decodable Information, by Sarah E. Harvey et al.
Summary of Imitation Learning From Observations: An Autoregressive Mixture Of Experts Approach, by Renzi Wang et al.
Summary of Perft: Parameter-efficient Routed Fine-tuning For Mixture-of-expert Model, by Yilun Liu et al.
Summary of Nvcim-pt: An Nvcim-assisted Prompt Tuning Framework For Edge Llms, by Ruiyang Qin et al.
Summary of Deceiving Question-answering Models: a Hybrid Word-level Adversarial Approach, by Jiyao Li et al.
Summary of Retrieval Augmented Time Series Forecasting, by Kutay Tire et al.
Summary of Gptree: Towards Explainable Decision-making Via Llm-powered Decision Trees, by Sichao Xiong et al.
Summary of Least Squares Training Of Quadratic Convolutional Neural Networks with Applications to System Theory, by Zachary Yetman Van Egmond et al.