Paper List
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Summary of Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability, by Jatin Nainani et al.
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Summary of Why the Agent Made That Decision: Explaining Deep Reinforcement Learning with Vision Masks, by Rui Zuo et al.
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Summary of Dp-cda: An Algorithm For Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing, by Utsab Saha et al.
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Summary of Benchmarking Active Learning For Nilm, by Dhruv Patel et al.
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Summary of Broad Critic Deep Actor Reinforcement Learning For Continuous Control, by Shiron Thalagala et al.
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Summary of Is Training Data Quality or Quantity More Impactful to Small Language Model Performance?, by Aryan Sajith et al.
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Summary of Efficient and Private: Memorisation Under Differentially Private Parameter-efficient Fine-tuning in Language Models, by Olivia Ma and Jonathan Passerat-palmbach and Dmitrii Usynin
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Summary of Unveil Inversion and Invariance in Flow Transformer For Versatile Image Editing, by Pengcheng Xu et al.
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Summary of Fedqp: Towards Accurate Federated Learning Using Quadratic Programming Guided Mutation, by Jiawen Weng et al.
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Summary of Unveiling the Superior Paradigm: a Comparative Study Of Source-free Domain Adaptation and Unsupervised Domain Adaptation, by Fan Wang et al.
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Summary of An Extensive Study on D2c: Overfitting Remediation in Deep Learning Using a Decentralized Approach, by Md. Saiful Bari Siddiqui et al.
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Summary of Ruppert-polyak Averaging For Stochastic Order Oracle, by V.n. Smirnov et al.
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Summary of Exal: An Exploration Enhanced Adversarial Learning Algorithm, by a Vinil et al.
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Summary of Distribution-aware Online Continual Learning For Urban Spatio-temporal Forecasting, by Chengxin Wang et al.
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Summary of From Laws to Motivation: Guiding Exploration Through Law-based Reasoning and Rewards, by Ziyu Chen and Zhiqing Xiao and Xinbei Jiang and Junbo Zhao
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Summary of Navigating the Effect Of Parametrization For Dimensionality Reduction, by Haiyang Huang et al.
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Summary of Enhancing Symbolic Regression and Universal Physics-informed Neural Networks with Dimensional Analysis, by Lena Podina et al.
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Summary of An Automl-based Approach For Network Intrusion Detection, by Nana Kankam Gyimah et al.
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Summary of Making Images From Images: Interleaving Denoising and Transformation, by Shumeet Baluja et al.
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Summary of Improving Pre-trained Self-supervised Embeddings Through Effective Entropy Maximization, by Deep Chakraborty et al.
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Summary of Understanding Machine Learning Paradigms Through the Lens Of Statistical Thermodynamics: a Tutorial, by Star (xinxin) Liu
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Summary of Customer Lifetime Value Prediction with Uncertainty Estimation Using Monte Carlo Dropout, by Xinzhe Cao et al.
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Summary of Partial Identifiability and Misspecification in Inverse Reinforcement Learning, by Joar Skalse and Alessandro Abate
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Summary of Trans-glasso: a Transfer Learning Approach to Precision Matrix Estimation, by Boxin Zhao et al.
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Summary of Learning State and Proposal Dynamics in State-space Models Using Differentiable Particle Filters and Neural Networks, by Benjamin Cox et al.
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Summary of Mc-nest — Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-refine Tree, by Gollam Rabby et al.
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Summary of Machine Learning-based Semg Signal Classification For Hand Gesture Recognition, by Parshuram N. Aarotale et al.
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Summary of Improving Next Tokens Via Second-to-last Predictions with Generate and Refine, by Johannes Schneider
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Summary of Best Of Both Worlds: Advantages Of Hybrid Graph Sequence Models, by Ali Behrouz et al.
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Summary of Quantile Deep Learning Models For Multi-step Ahead Time Series Prediction, by Jimmy Cheung et al.
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Summary of Drugagent: Automating Ai-aided Drug Discovery Programming Through Llm Multi-agent Collaboration, by Sizhe Liu et al.
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Summary of Can a Large Language Model Learn Matrix Functions in Context?, by Paimon Goulart and Evangelos E. Papalexakis
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Summary of Fixing the Perspective: a Critical Examination Of Zero-1-to-3, by Jack Yu and Xueying Jia and Charlie Sun and Prince Wang
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Summary of Tackling Data Heterogeneity in Federated Time Series Forecasting, by Wei Yuan et al.
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Summary of Research on Effectiveness Evaluation and Optimization Of Baseball Teaching Method Based on Machine Learning, by Shaoxuan Sun et al.
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Summary of Development Of Pre-trained Transformer-based Models For the Nepali Language, by Prajwal Thapa et al.
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Summary of Tabletime: Reformulating Time Series Classification As Training-free Table Understanding with Large Language Models, by Jiahao Wang et al.
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Summary of Proceedings Of the 6th International Workshop on Reading Music Systems, by Jorge Calvo-zaragoza et al.
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Summary of Integrating Deep Metric Learning with Coreset For Active Learning in 3d Segmentation, by Arvind Murari Vepa et al.
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Summary of Beyond Data Scarcity: a Frequency-driven Framework For Zero-shot Forecasting, by Liran Nochumsohn et al.
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Summary of Beyond Adaptive Gradient: Fast-controlled Minibatch Algorithm For Large-scale Optimization, by Corrado Coppola et al.
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Summary of Llm Online Spatial-temporal Signal Reconstruction Under Noise, by Yi Yan et al.
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Summary of Lora-mini : Adaptation Matrices Decomposition and Selective Training, by Ayush Singh et al.
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Summary of Adamz: An Enhanced Optimisation Method For Neural Network Training, by Ilia Zaznov (department Of Computer Science et al.
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Summary of Nd-bimamba2: a Unified Bidirectional Architecture For Multi-dimensional Data Processing, by Hao Liu
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Summary of Inducing Human-like Biases in Moral Reasoning Language Models, by Artem Karpov et al.
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Summary of Gradient Dynamics For Low-rank Fine-tuning Beyond Kernels, by Arif Kerem Dayi et al.
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Summary of A Constrast-agnostic Method For Ultra-high Resolution Claustrum Segmentation, by Chiara Mauri et al.
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Summary of Partial Knowledge Distillation For Alleviating the Inherent Inter-class Discrepancy in Federated Learning, by Xiaoyu Gan et al.
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Summary of Ml-speak: a Theory-guided Machine Learning Method For Studying and Predicting Conversational Turn-taking Patterns, by Lisa R. O’bryan et al.
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Summary of Learning a Local Trading Strategy: Deep Reinforcement Learning For Grid-scale Renewable Energy Integration, by Caleb Ju and Constance Crozier
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Summary of A Comparative Analysis Of Transformer and Lstm Models For Detecting Suicidal Ideation on Reddit, by Khalid Hasan et al.
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Summary of Tangnn: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism For Graph Representation Learning, by Jiawei E et al.
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Summary of Towards Robust Evaluation Of Unlearning in Llms Via Data Transformations, by Abhinav Joshi and Shaswati Saha and Divyaksh Shukla and Sriram Vema and Harsh Jhamtani and Manas Gaur and Ashutosh Modi
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Summary of Improving Factuality Of 3d Brain Mri Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation, by Junhyeok Lee et al.
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Summary of Haar-laplacian For Directed Graphs, by Theodor-adrian Badea et al.
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Summary of Optical-flow Guided Prompt Optimization For Coherent Video Generation, by Hyelin Nam et al.
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Summary of From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning, by Lixiang Yan et al.
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Summary of Laguna: Language Guided Unsupervised Adaptation with Structured Spaces, by Anxhelo Diko et al.
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Summary of Fld+: Data-efficient Evaluation Metric For Generative Models, by Pranav Jeevan et al.
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Summary of Reassessing Layer Pruning in Llms: New Insights and Methods, by Yao Lu et al.
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Summary of Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data, by Sergei Voronin et al.
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Summary of A Scalable Approach to Covariate and Concept Drift Management Via Adaptive Data Segmentation, by Vennela Yarabolu et al.
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Summary of Stain-invariant Representation For Tissue Classification in Histology Images, by Manahil Raza et al.
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Summary of Ai Foundation Models For Wearable Movement Data in Mental Health Research, by Franklin Y. Ruan et al.
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Summary of The Zamba2 Suite: Technical Report, by Paolo Glorioso et al.
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Summary of A Unified Energy Management Framework For Multi-timescale Forecasting in Smart Grids, by Dafang Zhao et al.
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Summary of Tplogad: Unsupervised Log Anomaly Detection Based on Event Templates and Key Parameters, by Jiawei Lu et al.
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Summary of Reward Fine-tuning Two-step Diffusion Models Via Learning Differentiable Latent-space Surrogate Reward, by Zhiwei Jia et al.
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Summary of The Explabox: Model-agnostic Machine Learning Transparency & Analysis, by Marcel Robeer et al.
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Summary of Derivative-free Diffusion Manifold-constrained Gradient For Unified Xai, by Won Jun Kim et al.
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Summary of Proportional Infinite-width Infinite-depth Limit For Deep Linear Neural Networks, by Federico Bassetti and Lucia Ladelli and Pietro Rotondo
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Summary of Banglaembed: Efficient Sentence Embedding Models For a Low-resource Language Using Cross-lingual Distillation Techniques, by Muhammad Rafsan Kabir et al.
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Summary of Don’t Mesh with Me: Generating Constructive Solid Geometry Instead Of Meshes by Fine-tuning a Code-generation Llm, By Maximilian Mews et al.
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Summary of Elastiformer: Learned Redundancy Reduction in Transformer Via Self-distillation, by Junzhang Liu et al.
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Summary of Curriculum-enhanced Groupdro: Challenging the Norm Of Avoiding Curriculum Learning in Subpopulation Shift Setups, by Antonio Barbalau
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Summary of When Spatial Meets Temporal in Action Recognition, by Huilin Chen et al.
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Summary of Influence Functions and Regularity Tangents For Efficient Active Learning, by Frederik Eaton
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Summary of Forecasting Unseen Points Of Interest Visits Using Context and Proximity Priors, by Ziyao Li et al.
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Summary of Dependence Induced Representations, by Xiangxiang Xu et al.
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Summary of Geoscatt-gnn: a Geometric Scattering Transform-based Graph Neural Network Model For Ames Mutagenicity Prediction, by Abdeljalil Zoubir and Badr Missaoui
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Summary of Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers, by Gautham Vasan et al.
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Summary of Transforming Nlu with Babylon: a Case Study in Development Of Real-time, Edge-efficient, Multi-intent Translation System For Automated Drive-thru Ordering, by Mostafa Varzaneh et al.
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Summary of Label Distribution Shift-aware Prediction Refinement For Test-time Adaptation, by Minguk Jang et al.
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Summary of Deep Learning-based Classification Of Hyperkinetic Movement Disorders in Children, by Nandika Ramamurthy et al.
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Summary of Conditional Distribution Learning on Graphs, by Jie Chen et al.
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Summary of M2oe: Multimodal Collaborative Expert Peptide Model, by Zengzhu Guo et al.
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Summary of Uni-mlip: Unified Self-supervision For Medical Vision Language Pre-training, by Ameera Bawazir et al.
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Summary of Towards Million-scale Adversarial Robustness Evaluation with Stronger Individual Attacks, by Yong Xie and Weijie Zheng and Hanxun Huang and Guangnan Ye and Xingjun Ma
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Summary of Quantized Symbolic Time Series Approximation, by Erin Carson et al.
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Summary of Lightllm: a Versatile Large Language Model For Predictive Light Sensing, by Jiawei Hu et al.
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Summary of Effective Analog Ics Floorplanning with Relational Graph Neural Networks and Reinforcement Learning, by Davide Basso et al.
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Summary of Urban Region Embeddings From Service-specific Mobile Traffic Data, by Giulio Loddi et al.
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Summary of Dist Loss: Enhancing Regression in Few-shot Region Through Distribution Distance Constraint, by Guangkun Nie et al.
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Summary of Lplgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training, by Shreen Gul et al.
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Summary of Rethinking the Intermediate Features in Adversarial Attacks: Misleading Robotic Models Via Adversarial Distillation, by Ke Zhao (1) et al.
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Summary of An Accuracy Improving Method For Advertising Click Through Rate Prediction Based on Enhanced Xdeepfm Model, by Xiaowei Xi et al.
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Summary of Parameter Efficient Mamba Tuning Via Projector-targeted Diagonal-centric Linear Transformation, by Seokil Ham et al.
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Summary of A No Free Lunch Theorem For Human-ai Collaboration, by Kenny Peng et al.