Paper List

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Summary of A Riemannian Framework For Learning Reduced-order Lagrangian Dynamics, by Katharina Friedl et al.
Summary of Meta-learning with Heterogeneous Tasks, by Zhaofeng Si et al.
Summary of Arterialnet: Reconstructing Arterial Blood Pressure Waveform with Wearable Pulsatile Signals, a Cohort-aware Approach, by Sicong Huang et al.
Summary of Interpretable Representation Learning From Videos Using Nonlinear Priors, by Marian Longa et al.
Summary of Iman: An Adaptive Network For Robust Npc Mortality Prediction with Missing Modalities, by Yejing Huo et al.
Summary of Local and Global Graph Modeling with Edge-weighted Graph Attention Network For Handwritten Mathematical Expression Recognition, by Yejing Xie et al.
Summary of Complexity Matters: Effective Dimensionality As a Measure For Adversarial Robustness, by David Khachaturov et al.
Summary of Taipan: Efficient and Expressive State Space Language Models with Selective Attention, by Chien Van Nguyen et al.
Summary of Aligning Codellms with Direct Preference Optimization, by Yibo Miao et al.
Summary of Benchmarking Graph Learning For Drug-drug Interaction Prediction, by Zhenqian Shen et al.
Summary of Knowledge Distillation Using Frontier Open-source Llms: Generalizability and the Role Of Synthetic Data, by Anup Shirgaonkar et al.
Summary of Differential Informed Auto-encoder, by Jinrui Zhang
Summary of Sttatts: Unified Speech-to-text and Text-to-speech Model, by Hawau Olamide Toyin et al.
Summary of Understanding Players As If They Are Talking to the Game in a Customized Language: a Pilot Study, by Tianze Wang et al.
Summary of Tripcast: Pre-training Of Masked 2d Transformers For Trip Time Series Forecasting, by Yuhua Liao et al.
Summary of Prompting and Fine-tuning Of Small Llms For Length-controllable Telephone Call Summarization, by David Thulke and Yingbo Gao and Rricha Jalota and Christian Dugast and Hermann Ney
Summary of Rethinking Softmax: Self-attention with Polynomial Activations, by Hemanth Saratchandran et al.
Summary of Samg: Offline-to-online Reinforcement Learning Via State-action-conditional Offline Model Guidance, by Liyu Zhang et al.
Summary of Supporting Assessment Of Novelty Of Design Problems Using Concept Of Problem Sapphire, by Sanjay Singh et al.
Summary of Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model, by Jinxu Lin et al.
Summary of Nids Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and Its Generalization Capability, by Anton Raskovalov et al.
Summary of 3d Shape Completion with Test-time Training, by Michael Schopf-kuester et al.
Summary of Homomorphism Counts As Structural Encodings For Graph Learning, by Linus Bao et al.
Summary of Multi-objective Optimization in Cpu Design Space Exploration: Attention Is All You Need, by Runzhen Xue et al.
Summary of Link, Synthesize, Retrieve: Universal Document Linking For Zero-shot Information Retrieval, by Dae Yon Hwang et al.
Summary of Faster Algorithms For User-level Private Stochastic Convex Optimization, by Andrew Lowy et al.
Summary of A Contrastive-learning Approach For Auditory Attention Detection, by Seyed Ali Alavi Bajestan et al.
Summary of Low-rank Tensor Learning by Generalized Nonconvex Regularization, By Sijia Xia et al.
Summary of Momq: Mixture-of-experts Enhances Multi-dialect Query Generation Across Relational and Non-relational Databases, by Zhisheng Lin et al.
Summary of Skild: Unsupervised Skill Discovery Guided by Factor Interactions, By Zizhao Wang et al.
Summary of Enhancing Feature-specific Data Protection Via Bayesian Coordinate Differential Privacy, by Maryam Aliakbarpour et al.
Summary of A Causal Graph-enhanced Gaussian Process Regression For Modeling Engine-out Nox, by Shrenik Zinage et al.
Summary of Large Language Models Reflect the Ideology Of Their Creators, by Maarten Buyl et al.
Summary of Doubly Non-central Beta Matrix Factorization For Stable Dimensionality Reduction Of Bounded Support Matrix Data, by Anjali N. Albert and Patrick Flaherty and Aaron Schein
Summary of Integrating Deep Feature Extraction and Hybrid Resnet-densenet Model For Multi-class Abnormality Detection in Endoscopic Images, by Aman Sagar et al.
Summary of The Nature Of Mathematical Modeling and Probabilistic Optimization Engineering in Generative Ai, by Fulu Li
Summary of Iterative Self-tuning Llms For Enhanced Jailbreaking Capabilities, by Chung-en Sun et al.
Summary of What If the Input Is Expanded in Ood Detection?, by Boxuan Zhang et al.
Summary of Classifier Clustering and Feature Alignment For Federated Learning Under Distributed Concept Drift, by Junbao Chen et al.
Summary of Dialog2flow: Pre-training Soft-contrastive Action-driven Sentence Embeddings For Automatic Dialog Flow Extraction, by Sergio Burdisso et al.
Summary of Graph Pre-training Models Are Strong Anomaly Detectors, by Jiashun Cheng et al.
Summary of Scaling Up Masked Diffusion Models on Text, by Shen Nie et al.
Summary of Kvsharer: Efficient Inference Via Layer-wise Dissimilar Kv Cache Sharing, by Yifei Yang et al.
Summary of Automated Defect Detection and Grading Of Piarom Dates Using Deep Learning, by Nasrin Azimi et al.
Summary of Towards Understanding the Fragility Of Multilingual Llms Against Fine-tuning Attacks, by Samuele Poppi et al.
Summary of Multi-draft Speculative Sampling: Canonical Architectures and Theoretical Limits, by Ashish Khisti et al.
Summary of Asynchronous Rlhf: Faster and More Efficient Off-policy Rl For Language Models, by Michael Noukhovitch et al.
Summary of Fast Inference For Augmented Large Language Models, by Rana Shahout et al.
Summary of Hamiltonian Matching For Symplectic Neural Integrators, by Priscilla Canizares et al.
Summary of Augmenting Training Data with Vector-quantized Variational Autoencoder For Classifying Rf Signals, by Srihari Kamesh Kompella et al.
Summary of Stabilizing Black-box Model Selection with the Inflated Argmax, by Melissa Adrian et al.
Summary of Lego: Language Model Building Blocks, by Shrenik Bhansali et al.
Summary of 1-2-3-go! Policy Synthesis For Parameterized Markov Decision Processes Via Decision-tree Learning and Generalization, by Muqsit Azeem et al.
Summary of Robust and Explainable Depression Identification From Speech Using Vowel-based Ensemble Learning Approaches, by Kexin Feng et al.
Summary of Coreinfer: Accelerating Large Language Model Inference with Semantics-inspired Adaptive Sparse Activation, by Qinsi Wang et al.
Summary of Calibrating Deep Neural Network Using Euclidean Distance, by Wenhao Liang et al.
Summary of Aggregated Knowledge Model: Enhancing Domain-specific Qa with Fine-tuned and Retrieval-augmented Generation Models, by Fengchen Liu et al.
Summary of Adaedl: Early Draft Stopping For Speculative Decoding Of Large Language Models Via An Entropy-based Lower Bound on Token Acceptance Probability, by Sudhanshu Agrawal et al.
Summary of Fedbaf: Federated Learning Aggregation Biased by a Foundation Model, By Jong-ik Park et al.
Summary of Precision Soil Quality Analysis Using Transformer-based Data Fusion Strategies: a Systematic Review, by Mahdi Saki et al.
Summary of Delta: a Cloud-assisted Data Enrichment Framework For On-device Continual Learning, by Chen Gong et al.
Summary of Assessing Alcohol Use Disorder: Insights From Lifestyle, Background, and Family History with Machine Learning Techniques, by Chenlan Wang et al.
Summary of Harnessing Pu Learning For Enhanced Cloud-based Ddos Detection: a Comparative Analysis, by Robert Dilworth and Charan Gudla
Summary of Uncle: Unsupervised Continual Learning Of Depth Completion, by Suchisrit Gangopadhyay et al.
Summary of Profl: Performative Robust Optimal Federated Learning, by Xue Zheng et al.
Summary of Leveraging Skills From Unlabeled Prior Data For Efficient Online Exploration, by Max Wilcoxson et al.
Summary of Alta: Compiler-based Analysis Of Transformers, by Peter Shaw et al.
Summary of Prioritized Generative Replay, by Renhao Wang et al.
Summary of Gesture2text: a Generalizable Decoder For Word-gesture Keyboards in Xr Through Trajectory Coarse Discretization and Pre-training, by Junxiao Shen et al.
Summary of A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, Sar and Limited Gedi Lidar Data Over Northern Forests, By Jose B. Castro et al.
Summary of Efficient Adaptive Federated Optimization, by Su Hyeong Lee and Sidharth Sharma and Manzil Zaheer and Tian Li
Summary of Point Cloud Compression with Bits-back Coding, by Nguyen Quang Hieu et al.
Summary of Movement Control Of Smart Mosque’s Domes Using Csrnet and Fuzzy Logic Techniques, by Anas H. Blasi et al.
Summary of Graph Contrastive Learning Via Cluster-refined Negative Sampling For Semi-supervised Text Classification, by Wei Ai et al.
Summary of Mec-ip: Efficient Discovery Of Markov Equivalent Classes Via Integer Programming, by Abdelmonem Elrefaey et al.
Summary of R2gen-mamba: a Selective State Space Model For Radiology Report Generation, by Yongheng Sun et al.
Summary of Advancing Super-resolution in Neural Radiance Fields Via Variational Diffusion Strategies, by Shrey Vishen et al.
Summary of Beyond the Kolmogorov Barrier: a Learnable Weighted Hybrid Autoencoder For Model Order Reduction, by Nithin Somasekharan et al.
Summary of Dreaming Learning, by Alessandro Londei et al.
Summary of Future Token Prediction — Causal Language Modelling with Per-token Semantic State Vector For Multi-token Prediction, by Nicholas Walker
Summary of Zip-fit: Embedding-free Data Selection Via Compression-based Alignment, by Elyas Obbad et al.
Summary of Tabdpt: Scaling Tabular Foundation Models, by Junwei Ma et al.
Summary of Rethinking Positive Pairs in Contrastive Learning, by Jiantao Wu et al.
Summary of Scalable Offline Reinforcement Learning For Mean Field Games, by Axel Brunnbauer et al.
Summary of Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity, by Philip Amortila et al.
Summary of Regal: Python Package For Active Learning Of Regression Problems, by Elizaveta Surzhikova and Jonny Proppe
Summary of Deep Learning For Model Correction Of Dynamical Systems with Data Scarcity, by Caroline Tatsuoka and Dongbin Xiu
Summary of Addressing Asynchronicity in Clinical Multimodal Fusion Via Individualized Chest X-ray Generation, by Wenfang Yao et al.
Summary of Multi-continental Healthcare Modelling Using Blockchain-enabled Federated Learning, by Rui Sun et al.
Summary of Semi-implicit Functional Gradient Flow, by Shiyue Zhang et al.
Summary of Generalized Resubstitution For Regression Error Estimation, by Diego Marcondes and Ulisses Braga-neto
Summary of Spiking Graph Neural Network on Riemannian Manifolds, by Li Sun et al.
Summary of Simrag: Self-improving Retrieval-augmented Generation For Adapting Large Language Models to Specialized Domains, by Ran Xu et al.
Summary of Closed-form Merging Of Parameter-efficient Modules For Federated Continual Learning, by Riccardo Salami et al.
Summary of Mcubert: Memory-efficient Bert Inference on Commodity Microcontrollers, by Zebin Yang et al.
Summary of Pomdp-driven Cognitive Massive Mimo Radar: Joint Target Detection-tracking in Unknown Disturbances, by Imad Bouhou et al.
Summary of Stick-breaking Attention, by Shawn Tan et al.
Summary of Estimating the Spectral Moments Of the Kernel Integral Operator From Finite Sample Matrices, by Chanwoo Chun et al.
Summary of The Double-edged Sword Of Behavioral Responses in Strategic Classification: Theory and User Studies, by Raman Ebrahimi et al.
Summary of Federated Transformer: Multi-party Vertical Federated Learning on Practical Fuzzily Linked Data, by Zhaomin Wu et al.