Paper List

We recommend you use the search box as this list is very long.

Summary of Leveraging Federated Learning For Automatic Detection Of Clopidogrel Treatment Failures, by Samuel Kim and Min Sang Kim
Summary of Tartanaviation: Image, Speech, and Ads-b Trajectory Datasets For Terminal Airspace Operations, by Jay Patrikar et al.
Summary of Performance Evaluation Of Semi-supervised Learning Frameworks For Multi-class Weed Detection, by Jiajia Li et al.
Summary of Neural Image Compression with Text-guided Encoding For Both Pixel-level and Perceptual Fidelity, by Hagyeong Lee et al.
Summary of Unsupervised Learning Approaches For Identifying Icu Patient Subgroups: Do Results Generalise?, by Harry Mayne et al.
Summary of Saffira: a Framework For Assessing the Reliability Of Systolic-array-based Dnn Accelerators, by Mahdi Taheri et al.
Summary of Evidence-focused Fact Summarization For Knowledge-augmented Zero-shot Question Answering, by Sungho Ko et al.
Summary of A Backpack Full Of Skills: Egocentric Video Understanding with Diverse Task Perspectives, by Simone Alberto Peirone et al.
Summary of Splagger: Split Aggregation For Meta-reinforcement Learning, by Jacob Beck et al.
Summary of Crispr: Ensemble Model, by Mohammad Rostami et al.
Summary of Improving Variational Autoencoder Estimation From Incomplete Data with Mixture Variational Families, by Vaidotas Simkus et al.
Summary of On a Neural Implementation Of Brenier’s Polar Factorization, by Nina Vesseron et al.
Summary of Recall-oriented Continual Learning with Generative Adversarial Meta-model, by Haneol Kang et al.
Summary of Emergent Equivariance in Deep Ensembles, by Jan E. Gerken and Pan Kessel
Summary of Knowagent: Knowledge-augmented Planning For Llm-based Agents, by Yuqi Zhu et al.
Summary of Deep-learned Compression For Radio-frequency Signal Classification, by Armani Rodriguez et al.
Summary of Palmprobnet: a Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest Via Transfer Learning, by Kangning Cui et al.
Summary of Dual Mean-teacher: An Unbiased Semi-supervised Framework For Audio-visual Source Localization, by Yuxin Guo et al.
Summary of Reaching Consensus in Cooperative Multi-agent Reinforcement Learning with Goal Imagination, by Liangzhou Wang et al.
Summary of Behavior Generation with Latent Actions, by Seungjae Lee and Yibin Wang and Haritheja Etukuru and H. Jin Kim and Nur Muhammad Mahi Shafiullah and Lerrel Pinto
Summary of Correlated Proxies: a New Definition and Improved Mitigation For Reward Hacking, by Cassidy Laidlaw et al.
Summary of How Well Can Transformers Emulate In-context Newton’s Method?, by Angeliki Giannou et al.
Summary of Reliable, Adaptable, and Attributable Language Models with Retrieval, by Akari Asai et al.
Summary of G4-attention: Deep Learning Model with Attention For Predicting Dna G-quadruplexes, by Shrimon Mukherjee et al.
Summary of Rehabilitation Exercise Quality Assessment Through Supervised Contrastive Learning with Hard and Soft Negatives, by Mark Karlov et al.
Summary of A Zero-shot Reinforcement Learning Strategy For Autonomous Guidewire Navigation, by Valentina Scarponi (mimesis et al.
Summary of Easyquant: An Efficient Data-free Quantization Algorithm For Llms, by Hanlin Tang et al.
Summary of Data Collaboration Analysis with Orthonormal Basis Selection and Alignment, by Keiyu Nosaka et al.
Summary of Semi-supervised Graph Representation Learning with Human-centric Explanation For Predicting Fatty Liver Disease, by So Yeon Kim et al.
Summary of Dynamic Gaussian Graph Operator: Learning Parametric Partial Differential Equations in Arbitrary Discrete Mechanics Problems, by Chu Wang et al.
Summary of Injecttst: a Transformer Method Of Injecting Global Information Into Independent Channels For Long Time Series Forecasting, by Ce Chi et al.
Summary of An Adaptive Hydropower Management Approach For Downstream Ecosystem Preservation, by C. Coelho et al.
Summary of Sofim: Stochastic Optimization Using Regularized Fisher Information Matrix, by Mrinmay Sen et al.
Summary of Precise Extraction Of Deep Learning Models Via Side-channel Attacks on Edge/endpoint Devices, by Younghan Lee et al.
Summary of Flguard: Byzantine-robust Federated Learning Via Ensemble Of Contrastive Models, by Younghan Lee et al.
Summary of A Note on High-probability Analysis Of Algorithms with Exponential, Sub-gaussian, and General Light Tails, by Amit Attia et al.
Summary of Mathscale: Scaling Instruction Tuning For Mathematical Reasoning, by Zhengyang Tang et al.
Summary of Revisiting Confidence Estimation: Towards Reliable Failure Prediction, by Fei Zhu et al.
Summary of Interrogatellm: Zero-resource Hallucination Detection in Llm-generated Answers, by Yakir Yehuda et al.
Summary of Taylorshift: Shifting the Complexity Of Self-attention From Squared to Linear (and Back) Using Taylor-softmax, by Tobias Christian Nauen et al.
Summary of From Spectra to Biophysical Insights: End-to-end Learning with a Biased Radiative Transfer Model, by Yihang She et al.
Summary of Aix Speed: Playback Speed Optimization Using Listening Comprehension Of Speech Recognition Models, by Kazuki Kawamura and Jun Rekimoto
Summary of Adam: Adaptive Fault-tolerant Approximate Multiplier For Edge Dnn Accelerators, by Mahdi Taheri et al.
Summary of Unsupervised Spatio-temporal State Estimation For Fine-grained Adaptive Anomaly Diagnosis Of Industrial Cyber-physical Systems, by Haili Sun et al.
Summary of World Models For Autonomous Driving: An Initial Survey, by Yanchen Guan et al.
Summary of Training Machine Learning Models at the Edge: a Survey, by Aymen Rayane Khouas et al.
Summary of Pareto-optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects, by Yingrong Wang et al.
Summary of Interactive Continual Learning: Fast and Slow Thinking, by Biqing Qi et al.
Summary of Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort Via Llm Tool-use, by Imad Eddine Toubal et al.
Summary of Fedhcdr: Federated Cross-domain Recommendation with Hypergraph Signal Decoupling, by Hongyu Zhang et al.
Summary of False Positive Sampling-based Data Augmentation For Enhanced 3d Object Detection Accuracy, by Jiyong Oh et al.
Summary of Remove That Square Root: a New Efficient Scale-invariant Version Of Adagrad, by Sayantan Choudhury et al.
Summary of Time Weaver: a Conditional Time Series Generation Model, by Sai Shankar Narasimhan et al.
Summary of Learning to Defer to a Population: a Meta-learning Approach, by Dharmesh Tailor et al.
Summary of Sgd with Partial Hessian For Deep Neural Networks Optimization, by Ying Sun et al.
Summary of Dirichlet-based Per-sample Weighting by Transition Matrix For Noisy Label Learning, By Heesun Bae et al.
Summary of Meancache: User-centric Semantic Caching For Llm Web Services, by Waris Gill (1) et al.
Summary of Controllable Prompt Tuning For Balancing Group Distributional Robustness, by Hoang Phan and Andrew Gordon Wilson and Qi Lei
Summary of Noise Misleads Rotation Invariant Algorithms on Sparse Targets, by Manfred K. Warmuth (1) et al.
Summary of A Two-stage Training Method For Modeling Constrained Systems with Neural Networks, by C. Coelho et al.
Summary of Android in the Zoo: Chain-of-action-thought For Gui Agents, by Jiwen Zhang et al.
Summary of Neural Fractional Differential Equations, by C. Coelho et al.
Summary of Learning Without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps From Low-resolution Historical Labels, by Zhuohong Li et al.
Summary of Sok: Challenges and Opportunities in Federated Unlearning, by Hyejun Jeong et al.
Summary of Root Causing Prediction Anomalies Using Explainable Ai, by Ramanathan Vishnampet et al.
Summary of Anatomically Constrained Tractography Of the Fetal Brain, by Camilo Calixto et al.
Summary of On Latency Predictors For Neural Architecture Search, by Yash Akhauri et al.
Summary of Vision-language Models For Medical Report Generation and Visual Question Answering: a Review, by Iryna Hartsock and Ghulam Rasool
Summary of Enhancing Llm Safety Via Constrained Direct Preference Optimization, by Zixuan Liu et al.
Summary of A Simple Finite-time Analysis Of Td Learning with Linear Function Approximation, by Aritra Mitra
Summary of Encodings For Prediction-based Neural Architecture Search, by Yash Akhauri et al.
Summary of Trial and Error: Exploration-based Trajectory Optimization For Llm Agents, by Yifan Song et al.
Summary of Hear — Health Acoustic Representations, by Sebastien Baur et al.
Summary of Differentially Private Representation Learning Via Image Captioning, by Tom Sander et al.
Summary of Density-based Isometric Mapping, by Bardia Yousefi et al.
Summary of Dpadapter: Improving Differentially Private Deep Learning Through Noise Tolerance Pre-training, by Zihao Wang et al.
Summary of Towards Foundation Time Series Model: to Synthesize or Not to Synthesize?, by Kseniia Kuvshinova et al.
Summary of Wukong: Towards a Scaling Law For Large-scale Recommendation, by Buyun Zhang et al.
Summary of Learning-augmented Online Minimization Of Age Of Information and Transmission Costs, by Zhongdong Liu et al.
Summary of What Do We Learn From Inverting Clip Models?, by Hamid Kazemi et al.
Summary of Pooling Image Datasets with Multiple Covariate Shift and Imbalance, by Sotirios Panagiotis Chytas et al.
Summary of Testam: a Time-enhanced Spatio-temporal Attention Model with Mixture Of Experts, by Hyunwook Lee et al.
Summary of Dnnlasso: Scalable Graph Learning For Matrix-variate Data, by Meixia Lin and Yangjing Zhang
Summary of Riff: Learning to Rephrase Inputs For Few-shot Fine-tuning Of Language Models, by Saeed Najafi and Alona Fyshe
Summary of Physics-informed Neural Networks with Skip Connections For Modeling and Control Of Gas-lifted Oil Wells, by Jonas Ekeland Kittelsen et al.
Summary of Koopman-assisted Reinforcement Learning, by Preston Rozwood et al.
Summary of A Decade Of Privacy-relevant Android App Reviews: Large Scale Trends, by Omer Akgul et al.
Summary of Taming Throughput-latency Tradeoff in Llm Inference with Sarathi-serve, by Amey Agrawal et al.
Summary of Contrastive Region Guidance: Improving Grounding in Vision-language Models Without Training, by David Wan et al.
Summary of Beyond Specialization: Assessing the Capabilities Of Mllms in Age and Gender Estimation, by Maksim Kuprashevich et al.
Summary of Commit: Certifying Robustness Of Multi-sensor Fusion Systems Against Semantic Attacks, by Zijian Huang et al.
Summary of On the Convergence Of Federated Learning Algorithms Without Data Similarity, by Ali Beikmohammadi et al.
Summary of Gradient Correlation Subspace Learning Against Catastrophic Forgetting, by Tammuz Dubnov et al.
Summary of Atp: Enabling Fast Llm Serving Via Attention on Top Principal Keys, by Yue Niu et al.
Summary of Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space, by Li Cai et al.
Summary of Spatio-temporal Field Neural Networks For Air Quality Inference, by Yutong Feng et al.
Summary of Towards Optimal Customized Architecture For Heterogeneous Federated Learning with Contrastive Cloud-edge Model Decoupling, by Xingyan Chen and Tian Du and Mu Wang and Tiancheng Gu and Yu Zhao and Gang Kou and Changqiao Xu and Dapeng Oliver Wu
Summary of Addressing Long-tail Noisy Label Learning Problems: a Two-stage Solution with Label Refurbishment Considering Label Rarity, by Ying-hsuan Wu et al.
Summary of Otclean: Data Cleaning For Conditional Independence Violations Using Optimal Transport, by Alireza Pirhadi et al.
Summary of Ninformer: a Network in Network Transformer with Token Mixing As a Gating Function Generator, by Abdullah Nazhat Abdullah et al.