Paper List

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Summary of The Crucial Role Of Samplers in Online Direct Preference Optimization, by Ruizhe Shi et al.
Summary of Duognn: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-decoupling, by K. Mancini and I. Rekik
Summary of Temporal Source Recovery For Time-series Source-free Unsupervised Domain Adaptation, by Yucheng Wang et al.
Summary of Explicit Construction Of Recurrent Neural Networks Effectively Approximating Discrete Dynamical Systems, by Chikara Nakayama and Tsuyoshi Yoneda
Summary of Veclstm: Trajectory Data Processing and Management For Activity Recognition Through Lstm Vectorization and Database Integration, by Solmaz Seyed Monir et al.
Summary of Visual Question Decomposition on Multimodal Large Language Models, by Haowei Zhang et al.
Summary of A Generalized Model For Multidimensional Intransitivity, by Jiuding Duan et al.
Summary of Unveil Benign Overfitting For Transformer in Vision: Training Dynamics, Convergence, and Generalization, by Jiarui Jiang et al.
Summary of Sparse Modelling For Feature Learning in High Dimensional Data, by Harish Neelam et al.
Summary of Interpretable, Multi-dimensional Evaluation Framework For Causal Discovery From Observational I.i.d. Data, by Georg Velev et al.
Summary of Dota: Distributional Test-time Adaptation Of Vision-language Models, by Zongbo Han et al.
Summary of Canonical Correlation Guided Deep Neural Network, by Zhiwen Chen et al.
Summary of Value-based Deep Multi-agent Reinforcement Learning with Dynamic Sparse Training, by Pihe Hu et al.
Summary of Sequential Signal Mixing Aggregation For Message Passing Graph Neural Networks, by Mitchell Keren Taraday et al.
Summary of Identifiable Shared Component Analysis Of Unpaired Multimodal Mixtures, by Subash Timilsina et al.
Summary of Microflow: An Efficient Rust-based Inference Engine For Tinyml, by Matteo Carnelos et al.
Summary of Generalization Error Of the Tilted Empirical Risk, by Gholamali Aminian et al.
Summary of Rmlr: Extending Multinomial Logistic Regression Into General Geometries, by Ziheng Chen et al.
Summary of Simulation-based Inference with the Python Package Sbijax, by Simon Dirmeier and Simone Ulzega and Antonietta Mira and Carlo Albert
Summary of Strongly-polynomial Time and Validation Analysis Of Policy Gradient Methods, by Caleb Ju et al.
Summary of Scalable Fine-tuning From Multiple Data Sources: a First-order Approximation Approach, by Dongyue Li et al.
Summary of Towards Croppable Implicit Neural Representations, by Maor Ashkenazi et al.
Summary of Hedging and Approximate Truthfulness in Traditional Forecasting Competitions, by Mary Monroe et al.
Summary of Federated Online Prediction From Experts with Differential Privacy: Separations and Regret Speed-ups, by Fengyu Gao et al.
Summary of Localizing Memorization in Ssl Vision Encoders, by Wenhao Wang et al.
Summary of Enhancing Robustness Of Graph Neural Networks Through P-laplacian, by Anuj Kumar Sirohi et al.
Summary of Implementing Nlps in Industrial Process Modeling: Addressing Categorical Variables, by Eleni D. Koronaki et al.
Summary of Range-aware Positional Encoding Via High-order Pretraining: Theory and Practice, by Viet Anh Nguyen et al.
Summary of Chebyshev Feature Neural Network For Accurate Function Approximation, by Zhongshu Xu et al.
Summary of Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction Of Black-box Neural Networks, by Judah Goldfeder et al.
Summary of Physics-informed Echo State Networks For Modeling Controllable Dynamical Systems, by Eric Mochiutti et al.
Summary of Multimodal Pragmatic Jailbreak on Text-to-image Models, by Tong Liu et al.
Summary of Calibrated Probabilistic Forecasts For Arbitrary Sequences, by Charles Marx et al.
Summary of An Accelerated Algorithm For Stochastic Bilevel Optimization Under Unbounded Smoothness, by Xiaochuan Gong et al.
Summary of Boosting Sisso Performance on Small Sample Datasets by Using Random Forests Prescreening For Complex Feature Selection, By Xiaolin Jiang et al.
Summary of Evidence Is All You Need: Ordering Imaging Studies Via Language Model Alignment with the Acr Appropriateness Criteria, by Michael S. Yao et al.
Summary of Group & Reweight: a Novel Cost-sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification, by Wumei Du et al.
Summary of A Characterization Of List Regression, by Chirag Pabbaraju et al.
Summary of Double Actor-critic with Td Error-driven Regularization in Reinforcement Learning, by Haohui Chen et al.
Summary of Cauchy Activation Function and Xnet, by Xin Li et al.
Summary of Zorro: a Flexible and Differentiable Parametric Family Of Activation Functions That Extends Relu and Gelu, by Matias Roodschild et al.
Summary of Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning, by Xinrui Wang et al.
Summary of Hybridflow: a Flexible and Efficient Rlhf Framework, by Guangming Sheng et al.
Summary of Lml-dap: Language Model Learning a Dataset For Data-augmented Prediction, by Praneeth Vadlapati
Summary of O(d/t) Convergence Theory For Diffusion Probabilistic Models Under Minimal Assumptions, by Gen Li et al.
Summary of Exploring Token Pruning in Vision State Space Models, by Zheng Zhan et al.
Summary of Physgen: Rigid-body Physics-grounded Image-to-video Generation, by Shaowei Liu et al.
Summary of Harnessing Large Language Models: Fine-tuned Bert For Detecting Charismatic Leadership Tactics in Natural Language, by Yasser Saeid et al.
Summary of Efficient and Personalized Mobile Health Event Prediction Via Small Language Models, by Xin Wang et al.
Summary of From Linguistic Giants to Sensory Maestros: a Survey on Cross-modal Reasoning with Large Language Models, by Shengsheng Qian et al.
Summary of Enhancing Tinybert For Financial Sentiment Analysis Using Gpt-augmented Finbert Distillation, by Graison Jos Thomas
Summary of Towards Automated Patent Workflows: Ai-orchestrated Multi-agent Framework For Intellectual Property Management and Analysis, by Sakhinana Sagar Srinivas et al.
Summary of A Comprehensive Study Of On-device Nlp Applications — Vqa, Automated Form Filling, Smart Replies For Linguistic Codeswitching, by Naman Goyal
Summary of Improving Academic Skills Assessment with Nlp and Ensemble Learning, by Xinyi Huang et al.
Summary of Flex: Expert-level False-less Execution Metric For Reliable Text-to-sql Benchmark, by Heegyu Kim et al.
Summary of Textless Nlp — Zero Resource Challenge with Low Resource Compute, by Krithiga Ramadass et al.
Summary of Ragprobe: An Automated Approach For Evaluating Rag Applications, by Shangeetha Sivasothy et al.
Summary of Diasynth: Synthetic Dialogue Generation Framework For Low Resource Dialogue Applications, by Sathya Krishnan Suresh et al.
Summary of Application Of Ai-based Models For Online Fraud Detection and Analysis, by Antonis Papasavva et al.
Summary of On the Inductive Bias Of Stacking Towards Improving Reasoning, by Nikunj Saunshi et al.
Summary of Intention-aware Policy Graphs: Answering What, How, and Why in Opaque Agents, by Victor Gimenez-abalos et al.
Summary of Cllmate: a Multimodal Benchmark For Weather and Climate Events Forecasting, by Haobo Li et al.
Summary of Differential Privacy Enables Fair and Accurate Ai-based Analysis Of Speech Disorders While Protecting Patient Data, by Soroosh Tayebi Arasteh et al.
Summary of Cottention: Linear Transformers with Cosine Attention, by Gabriel Mongaras and Trevor Dohm and Eric C. Larson
Summary of Learning From Demonstration with Implicit Nonlinear Dynamics Models, by Peter David Fagan et al.
Summary of Tensorsocket: Shared Data Loading For Deep Learning Training, by Ties Robroek (it University Of Copenhagen) et al.
Summary of Hardcore Generation: Generating Hard Unsat Problems For Data Augmentation, by Joseph Cotnareanu et al.
Summary of Hierarchical Federated Admm, by Seyed Mohammad Azimi-abarghouyi et al.
Summary of Supervised Learning Model For Key Frame Identification From Cow Teat Videos, by Minghao Wang et al.
Summary of Convergence Of Diffusion Models Under the Manifold Hypothesis in High-dimensions, by Iskander Azangulov et al.
Summary of Arlbench: Flexible and Efficient Benchmarking For Hyperparameter Optimization in Reinforcement Learning, by Jannis Becktepe et al.
Summary of Challenges Of Generating Structurally Diverse Graphs, by Fedor Velikonivtsev et al.
Summary of Classification and Regression Of Trajectories Rendered As Images Via 2d Convolutional Neural Networks, by Mariaclaudia Nicolai et al.
Summary of Classical Statistical (in-sample) Intuitions Don’t Generalize Well: a Note on Bias-variance Tradeoffs, Overfitting and Moving From Fixed to Random Designs, by Alicia Curth
Summary of Positional Encoder Graph Quantile Neural Networks For Geographic Data, by William E. R. De Amorim et al.
Summary of Individuation in Neural Models with and Without Visual Grounding, by Alexey Tikhonov et al.
Summary of Hr-extreme: a High-resolution Dataset For Extreme Weather Forecasting, by Nian Ran et al.
Summary of Hm3: Hierarchical Multi-objective Model Merging For Pretrained Models, by Yu Zhou et al.
Summary of In-depth Analysis Of Privacy Threats in Federated Learning For Medical Data, by Badhan Chandra Das et al.
Summary of Multi-source Hard and Soft Information Fusion Approach For Accurate Cryptocurrency Price Movement Prediction, by Saeed Mohammadi Dashtaki et al.
Summary of Best Arm Identification with Minimal Regret, by Junwen Yang et al.
Summary of A-fedpd: Aligning Dual-drift Is All Federated Primal-dual Learning Needs, by Yan Sun et al.
Summary of Spectral Wavelet Dropout: Regularization in the Wavelet Domain, by Rinor Cakaj et al.
Summary of Wasserstein Distance-weighted Adversarial Network For Cross-domain Credit Risk Assessment, by Mohan Jiang et al.
Summary of Efficient Noise Mitigation For Enhancing Inference Accuracy in Dnns on Mixed-signal Accelerators, by Seyedarmin Azizi et al.
Summary of Optimizing Dnn Inference on Multi-accelerator Socs at Training-time, by Matteo Risso et al.
Summary of Token Caching For Diffusion Transformer Acceleration, by Jinming Lou et al.
Summary of Experimental Evaluation Of Machine Learning Models For Goal-oriented Customer Service Chatbot with Pipeline Architecture, by Nurul Ain Nabilah Mohd Isa et al.
Summary of Towards An Active-learning Approach to Resource Allocation For Population-based Damage Prognosis, by George Tsialiamanis et al.
Summary of Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen, by Miguel Costa et al.
Summary of An Enhanced Federated Prototype Learning Method Under Domain Shift, by Liang Kuang et al.
Summary of Using Deep Autoregressive Models As Causal Inference Engines, by Daniel Jiwoong Im et al.
Summary of “oh Llm, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-shot Decision Tree Induction and Embedding with Large Language Models, by Ricardo Knauer et al.
Summary of Optimistic Games For Combinatorial Bayesian Optimization with Application to Protein Design, by Melis Ilayda Bal et al.
Summary of Temporalpad: a Reinforcement-learning Framework For Temporal Feature Representation and Dimension Reduction, by Xuechen Mu et al.
Summary of Differentially Private Non Parametric Copulas: Generating Synthetic Data with Non Parametric Copulas Under Privacy Guarantees, by Pablo A. Osorio-marulanda et al.
Summary of How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training Of Vision Foundation Models, by Tomaso Trinci et al.
Summary of Unsupervised Cognition, by Alfredo Ibias et al.
Summary of Rethinking the Power Of Timestamps For Robust Time Series Forecasting: a Global-local Fusion Perspective, by Chengsen Wang et al.
Summary of Entropy, Concentration, and Learning: a Statistical Mechanics Primer, by Akshay Balsubramani