Paper List

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Summary of Time Can Invalidate Algorithmic Recourse, by Giovanni De Toni et al.
Summary of Non-transferable Pruning, by Ruyi Ding et al.
Summary of Generalization Bounds and Model Complexity For Kolmogorov-arnold Networks, by Xianyang Zhang and Huijuan Zhou
Summary of Qos-nets: Adaptive Approximate Neural Network Inference, by Elias Trommer et al.
Summary of Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts, by Shiye Su et al.
Summary of Dialectical Behavior Therapy Approach to Llm Prompting, by Oxana Vitman et al.
Summary of On the Grid-sampling Limit Sde, by Christian Bender et al.
Summary of Towards Quantifying the Privacy Of Redacted Text, by Vaibhav Gusain et al.
Summary of Orthogonal Nonnegative Matrix Factorization with the Kullback-leibler Divergence, by Jean Pacifique Nkurunziza et al.
Summary of Mind the Gap: a Spectral Analysis Of Rank Collapse and Signal Propagation in Attention Layers, by Alireza Naderi et al.
Summary of Mgmd-gan: Generalization Improvement Of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks, by Nirob Arefin
Summary of Temporal-difference Variational Continual Learning, by Luckeciano C. Melo et al.
Summary of Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circle, by Niklas Erdmann et al.
Summary of Simple Reflow: Improved Techniques For Fast Flow Models, by Beomsu Kim and Yu-guan Hsieh and Michal Klein and Marco Cuturi and Jong Chul Ye and Bahjat Kawar and James Thornton
Summary of Minority-focused Text-to-image Generation Via Prompt Optimization, by Soobin Um et al.
Summary of Masked Generative Priors Improve World Models Sequence Modelling Capabilities, by Cristian Meo and Mircea Lica and Zarif Ikram and Akihiro Nakano and Vedant Shah and Aniket Rajiv Didolkar and Dianbo Liu and Anirudh Goyal and Justin Dauwels
Summary of Scalable Representation Learning For Multimodal Tabular Transactions, by Natraj Raman et al.
Summary of From Logits to Hierarchies: Hierarchical Clustering Made Simple, by Emanuele Palumbo et al.
Summary of Benchmarking Agentic Workflow Generation, by Shuofei Qiao et al.
Summary of Unsupervised Data Validation Methods For Efficient Model Training, by Yurii Paniv
Summary of A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning, by Jingbo Zhang and Qiong Wu and Pingyi Fan and Qiang Fan
Summary of Identifying Latent Disease Factors Differently Expressed in Patient Subgroups Using Group Factor Analysis, by Fabio S. Ferreira et al.
Summary of Cl3: a Collaborative Learning Framework For the Medical Data Ensuring Data Privacy in the Hyperconnected Environment, by Mohamamd Zavid Parvez et al.
Summary of Scalable and Resource-efficient Second-order Federated Learning Via Over-the-air Aggregation, by Abdulmomen Ghalkha et al.
Summary of Adversarial Robustness Overestimation and Instability in Trades, by Jonathan Weiping Li et al.
Summary of Breaking the Curse Of Dimensionality in Structured Density Estimation, by Robert A. Vandermeulen et al.
Summary of Fedep: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling For Decentralized Federated Learning, by Chao Feng et al.
Summary of Learning to Compress: Local Rank and Information Compression in Deep Neural Networks, by Niket Patel et al.
Summary of When the Small-loss Trick Is Not Enough: Multi-label Image Classification with Noisy Labels Applied to Cctv Sewer Inspections, by Keryan Chelouche et al.
Summary of Growing Efficient Accurate and Robust Neural Networks on the Edge, by Vignesh Sundaresha and Naresh Shanbhag
Summary of A Generalization Result For Convergence in Learning-to-optimize, by Michael Sucker and Peter Ochs
Summary of Enhancing Zeroth-order Fine-tuning For Language Models with Low-rank Structures, by Yiming Chen et al.
Summary of Motiongs: Exploring Explicit Motion Guidance For Deformable 3d Gaussian Splatting, by Ruijie Zhu et al.
Summary of Learning Tree Pattern Transformations, by Daniel Neider and Leif Sabellek and Johannes Schmidt and Fabian Vehlken and Thomas Zeume
Summary of On the Generalization Properties Of Deep Learning For Aircraft Fuel Flow Estimation Models, by Gabriel Jarry et al.
Summary of Rethinking the Principle Of Gradient Smooth Methods in Model Explanation, by Linjiang Zhou et al.
Summary of Understanding Adversarially Robust Generalization Via Weight-curvature Index, by Yuelin Xu et al.
Summary of Towards Trustworthy Web Attack Detection: An Uncertainty-aware Ensemble Deep Kernel Learning Model, by Yonghang Zhou et al.
Summary of On the Detection Of Aircraft Single Engine Taxi Using Deep Learning Models, by Gabriel Jarry et al.
Summary of Enhancing Federated Domain Adaptation with Multi-domain Prototype-based Federated Fine-tuning, by Jingyuan Zhang et al.
Summary of Slim: Let Llm Learn More and Forget Less with Soft Lora and Identity Mixture, by Jiayi Han et al.
Summary of Benign Overfitting in Single-head Attention, by Roey Magen et al.
Summary of Data Augmentation For Surgical Scene Segmentation with Anatomy-aware Diffusion Models, by Danush Kumar Venkatesh et al.
Summary of Offline Inverse Constrained Reinforcement Learning For Safe-critical Decision Making in Healthcare, by Nan Fang et al.
Summary of Enhanced Physics-informed Neural Networks (pinns) For High-order Power Grid Dynamics, by Vineet Jagadeesan Nair
Summary of Corruption-robust Linear Bandits: Minimax Optimality and Gap-dependent Misspecification, by Haolin Liu et al.
Summary of Rank Aggregation in Crowdsourcing For Listwise Annotations, by Wenshui Luo et al.
Summary of Conditional Lagrangian Wasserstein Flow For Time Series Imputation, by Weizhu Qian et al.
Summary of Plamo-100b: a Ground-up Language Model Designed For Japanese Proficiency, by Preferred Elements: Kenshin Abe et al.
Summary of Hybrid Summary Statistics, by T. Lucas Makinen et al.
Summary of Gap-dependent Bounds For Q-learning Using Reference-advantage Decomposition, by Zhong Zheng et al.
Summary of Boosting Deep Ensembles with Learning Rate Tuning, by Hongpeng Jin et al.
Summary of Detecting Training Data Of Large Language Models Via Expectation Maximization, by Gyuwan Kim et al.
Summary of A Variational Bayesian Inference Theory Of Elasticity and Its Mixed Probabilistic Finite Element Method For Inverse Deformation Solutions in Any Dimension, by Chao Wang and Shaofan Li
Summary of Csa: Data-efficient Mapping Of Unimodal Features to Multimodal Features, by Po-han Li et al.
Summary of Parallel Digital Twin-driven Deep Reinforcement Learning For User Association and Load Balancing in Dynamic Wireless Networks, by Zhenyu Tao et al.
Summary of Automatic Curriculum Expert Iteration For Reliable Llm Reasoning, by Zirui Zhao et al.
Summary of The Plug-in Approach For Average-reward and Discounted Mdps: Optimal Sample Complexity Analysis, by Matthew Zurek et al.
Summary of Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits, by Yunlong Hou et al.
Summary of On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights From Random Matrix Theory, by Yangchun Zhang et al.
Summary of Provable Privacy Attacks on Trained Shallow Neural Networks, by Guy Smorodinsky and Gal Vardi and Itay Safran
Summary of Mechanistic Permutability: Match Features Across Layers, by Nikita Balagansky et al.
Summary of Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference, By Jianxing Yu et al.
Summary of Can Transformers Reason Logically? a Study in Sat Solving, by Leyan Pan et al.
Summary of Zero-shot Generalization Of Vision-based Rl Without Data Augmentation, by Sumeet Batra et al.
Summary of Toward Robust Real-world Audio Deepfake Detection: Closing the Explainability Gap, by Georgia Channing et al.
Summary of Kacq-dcnn: Uncertainty-aware Interpretable Kolmogorov-arnold Classical-quantum Dual-channel Neural Network For Heart Disease Detection, by Md Abrar Jahin et al.
Summary of Collective Variables Of Neural Networks: Empirical Time Evolution and Scaling Laws, by Samuel Tovey et al.
Summary of Sage: Scalable Ground Truth Evaluations For Large Sparse Autoencoders, by Constantin Venhoff et al.
Summary of Systematic Feature Design For Cycle Life Prediction Of Lithium-ion Batteries During Formation, by Jinwook Rhyu et al.
Summary of Seal: Safety-enhanced Aligned Llm Fine-tuning Via Bilevel Data Selection, by Han Shen and Pin-yu Chen and Payel Das and Tianyi Chen
Summary of Towards a Unified and Verified Understanding Of Group-operation Networks, by Wilson Wu et al.
Summary of Exploring the Design Space Of Deep-learning-based Weather Forecasting Systems, by Shoaib Ahmed Siddiqui et al.
Summary of Dense Optimizer : An Information Entropy-guided Structural Search Method For Dense-like Neural Network Design, by Liu Tianyuan et al.
Summary of Adaptive Batch Size For Privately Finding Second-order Stationary Points, by Daogao Liu et al.
Summary of Inferring Biological Processes with Intrinsic Noise From Cross-sectional Data, by Suryanarayana Maddu et al.
Summary of Crossquant: a Post-training Quantization Method with Smaller Quantization Kernel For Precise Large Language Model Compression, by Wenyuan Liu et al.
Summary of Mola: Enhancing Industrial Process Monitoring Using Multi-block Orthogonal Long Short-term Memory Autoencoder, by Fangyuan Ma and Cheng Ji and Jingde Wang and Wei Sun and Xun Tang and Zheyu Jiang
Summary of Csgdn: Contrastive Signed Graph Diffusion Network For Predicting Crop Gene-phenotype Associations, by Yiru Pan et al.
Summary of Mems Gyroscope Multi-feature Calibration Using Machine Learning Technique, by Yaoyao Long et al.
Summary of Evolutionary Contrastive Distillation For Language Model Alignment, by Julian Katz-samuels et al.
Summary of Upcycling Large Language Models Into Mixture Of Experts, by Ethan He et al.
Summary of Demoshapley: Valuation Of Demonstrations For In-context Learning, by Shan Xie et al.
Summary of One Initialization to Rule Them All: Fine-tuning Via Explained Variance Adaptation, by Fabian Paischer et al.
Summary of Glider: Global and Local Instruction-driven Expert Router, by Pingzhi Li et al.
Summary of Mm-ego: Towards Building Egocentric Multimodal Llms, by Hanrong Ye et al.
Summary of Astute Rag: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts For Large Language Models, by Fei Wang et al.
Summary of Neural Contrast: Leveraging Generative Editing For Graphic Design Recommendations, by Marian Lupascu et al.
Summary of Similarity Learning with Neural Networks, by Gabriel Sanfins et al.
Summary of Boosting the Performance Of Decentralized Federated Learning Via Catalyst Acceleration, by Qinglun Li et al.
Summary of Toward Generalizable Learning Of All (linear) First-order Methods Via Memory Augmented Transformers, by Sanchayan Dutta (uc Davis) et al.
Summary of Belm: Bidirectional Explicit Linear Multi-step Sampler For Exact Inversion in Diffusion Models, by Fangyikang Wang et al.
Summary of Mitigation Of Gender Bias in Automatic Facial Non-verbal Behaviors Generation, by Alice Delbosc (talep et al.
Summary of A Utility-mining-driven Active Learning Approach For Analyzing Clickstream Sequences, by Danny Y. C. Wang et al.
Summary of Benchmarking Data Heterogeneity Evaluation Approaches For Personalized Federated Learning, by Zhilong Li et al.
Summary of Principal Orthogonal Latent Components Analysis (polca Net), by Jose Antonio Martin H. and Freddy Perozo and Manuel Lopez
Summary of Moe++: Accelerating Mixture-of-experts Methods with Zero-computation Experts, by Peng Jin et al.
Summary of Generating Origin-destination Matrices in Neural Spatial Interaction Models, by Ioannis Zachos et al.
Summary of Aligning Ai-driven Discovery with Human Intuition, by Kevin Zhang et al.
Summary of Cafeen: a Cooperative Approach For Energy Efficient Nocs with Multi-agent Reinforcement Learning, by Kamil Khan et al.