Paper List

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Summary of Candid Dac: Leveraging Coupled Action Dimensions with Importance Differences in Dac, by Philipp Bordne et al.
Summary of Automated Computational Energy Minimization Of Ml Algorithms Using Constrained Bayesian Optimization, by Pallavi Mitra et al.
Summary of A Primal-dual Online Learning Approach For Dynamic Pricing Of Sequentially Displayed Complementary Items Under Sale Constraints, by Francesco Emanuele Stradi et al.
Summary of Model-agnostic Meta-learners For Estimating Heterogeneous Treatment Effects Over Time, by Dennis Frauen et al.
Summary of Mjolnir: Breaking the Shield Of Perturbation-protected Gradients Via Adaptive Diffusion, by Xuan Liu et al.
Summary of Mamba Hawkes Process, by Anningzhe Gao et al.
Summary of Fast Proxy Experiment Design For Causal Effect Identification, by Sepehr Elahi et al.
Summary of Ptarl: Prototype-based Tabular Representation Learning Via Space Calibration, by Hangting Ye et al.
Summary of Learning Label Refinement and Threshold Adjustment For Imbalanced Semi-supervised Learning, by Zeju Li et al.
Summary of Online Drift Detection with Maximum Concept Discrepancy, by Ke Wan et al.
Summary of Aigas-devl: An Adaptive Incremental Neural Gas Model For Drifting Data Streams Under Extreme Verification Latency, by Maria Arostegi et al.
Summary of Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis, by Stefan Horoi et al.
Summary of Il-tur: Benchmark For Indian Legal Text Understanding and Reasoning, by Abhinav Joshi and Shounak Paul and Akshat Sharma and Pawan Goyal and Saptarshi Ghosh and Ashutosh Modi
Summary of Isign: a Benchmark For Indian Sign Language Processing, by Abhinav Joshi and Romit Mohanty and Mounika Kanakanti and Andesha Mangla and Sudeep Choudhary and Monali Barbate and Ashutosh Modi
Summary of Sbora: Low-rank Adaptation with Regional Weight Updates, by Lai-man Po et al.
Summary of See Further For Parameter Efficient Fine-tuning by Standing on the Shoulders Of Decomposition, By Chongjie Si et al.
Summary of Ai in Manufacturing: Market Analysis and Opportunities, by Mohamed Abdelaal
Summary of Learning to Price Homogeneous Data, by Keran Chen et al.
Summary of Just Read Twice: Closing the Recall Gap For Recurrent Language Models, by Simran Arora et al.
Summary of Prospective Messaging: Learning in Networks with Communication Delays, by Ryan Fayyazi and Christian Weilbach and Frank Wood
Summary of Provably Efficient Long-horizon Exploration in Monte Carlo Tree Search Through State Occupancy Regularization, by Liam Schramm et al.
Summary of A Theory Of Machine Learning, by Jinsook Kim and Jinho Kang
Summary of Can Machines Learn the True Probabilities?, by Jinsook Kim
Summary of Enhance the Robustness Of Text-centric Multimodal Alignments, by Ting-yu Yen et al.
Summary of Brainmetdetect: Predicting Primary Tumor From Brain Metastasis Mri Data Using Radiomic Features and Machine Learning Algorithms, by Hamidreza Sadeghsalehi
Summary of Fedtsa: a Cluster-based Two-stage Aggregation Method For Model-heterogeneous Federated Learning, by Boyu Fan et al.
Summary of Dmtg: One-shot Differentiable Multi-task Grouping, by Yuan Gao and Shuguo Jiang and Moran Li and Jin-gang Yu and Gui-song Xia
Summary of The Role Of Depth, Width, and Tree Size in Expressiveness Of Deep Forest, by Shen-huan Lyu et al.
Summary of Rule: Reliable Multimodal Rag For Factuality in Medical Vision Language Models, by Peng Xia and Kangyu Zhu and Haoran Li and Hongtu Zhu and Yun Li and Gang Li and Linjun Zhang and Huaxiu Yao
Summary of Solving For X and Beyond: Can Large Language Models Solve Complex Math Problems with More-than-two Unknowns?, by Kuei-chun Kao et al.
Summary of Impact Of Network Topology on Byzantine Resilience in Decentralized Federated Learning, by Siddhartha Bhattacharya et al.
Summary of On High-dimensional Modifications Of the Nearest Neighbor Classifier, by Annesha Ghosh et al.
Summary of Synthetic Data Aided Federated Learning Using Foundation Models, by Fatima Abacha et al.
Summary of Recap: Recursive Cross Attention Network For Pseudo-label Generation in Robotic Surgical Skill Assessment, by Julien Quarez et al.
Summary of A Novel Bifurcation Method For Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System, by Kiernan Broda-milian et al.
Summary of Cbm: Curriculum by Masking, By Andrei Jarca et al.
Summary of Hide-pet: Continual Learning Via Hierarchical Decomposition Of Parameter-efficient Tuning, by Liyuan Wang et al.
Summary of Helios: An Extremely Low Power Event-based Gesture Recognition For Always-on Smart Eyewear, by Prarthana Bhattacharyya et al.
Summary of Visioblend: Sketch and Stroke-guided Denoising Diffusion Probabilistic Model For Realistic Image Generation, by Harshkumar Devmurari et al.
Summary of Papm: a Physics-aware Proxy Model For Process Systems, by Pengwei Liu et al.
Summary of Privacy Of the Last Iterate in Cyclically-sampled Dp-sgd on Nonconvex Composite Losses, by Weiwei Kong et al.
Summary of Deep Online Probability Aggregation Clustering, by Yuxuan Yan et al.
Summary of Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-constrained Iot Clients, by Shaoyuan Chen et al.
Summary of Closing the Gaps: Optimality Of Sample Average Approximation For Data-driven Newsvendor Problems, by Jiameng Lyu et al.
Summary of Balance Of Number Of Embedding and Their Dimensions in Vector Quantization, by Hang Chen et al.
Summary of Quantizing Yolov7: a Comprehensive Study, by Mohammadamin Baghbanbashi et al.
Summary of Beyond the Federation: Topology-aware Federated Learning For Generalization to Unseen Clients, by Mengmeng Ma and Tang Li and Xi Peng
Summary of Entropy-informed Weighting Channel Normalizing Flow, by Wei Chen et al.
Summary of Idiographic Personality Gaussian Process For Psychological Assessment, by Yehu Chen et al.
Summary of Logicvista: Multimodal Llm Logical Reasoning Benchmark in Visual Contexts, by Yijia Xiao et al.
Summary of Multi-agent Off-policy Actor-critic Reinforcement Learning For Partially Observable Environments, by Ainur Zhaikhan and Ali H. Sayed
Summary of Trace: Transformer-based Attribution Using Contrastive Embeddings in Llms, by Cheng Wang et al.
Summary of Enabling Causal Discovery in Post-nonlinear Models with Normalizing Flows, by Nu Hoang et al.
Summary of The Reachability Problem For Neural-network Control Systems, by Christian Schilling and Martin Zimmermann
Summary of Calorie Burn Estimation in Community Parks Through Dlicp: a Mathematical Modelling Approach, by Abhishek Sebastian et al.
Summary of The Solution For the Aigc Inference Performance Optimization Competition, by Sishun Pan et al.
Summary of Scalable Variational Causal Discovery Unconstrained by Acyclicity, By Nu Hoang et al.
Summary of The Solution For Language-enhanced Image New Category Discovery, by Haonan Xu et al.
Summary of The Solution For the Sequential Task Continual Learning Track Of the 2nd Greater Bay Area International Algorithm Competition, by Sishun Pan et al.
Summary of The Solution For the 5th Gcaiac Zero-shot Referring Expression Comprehension Challenge, by Longfei Huang et al.
Summary of Rethinking the Effectiveness Of Graph Classification Datasets in Benchmarks For Assessing Gnns, by Zhengdao Li et al.
Summary of Lora-ga: Low-rank Adaptation with Gradient Approximation, by Shaowen Wang et al.
Summary of Personalized Federated Domain-incremental Learning Based on Adaptive Knowledge Matching, by Yichen Li et al.
Summary of Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers For Sleep Health, by Songchi Zhou et al.
Summary of Spikellm: Scaling Up Spiking Neural Network to Large Language Models Via Saliency-based Spiking, by Xingrun Xing et al.
Summary of Spinex: Similarity-based Predictions with Explainable Neighbors Exploration For Anomaly and Outlier Detection, by Mz Naser et al.
Summary of Agnostic Private Density Estimation For Gmms Via List Global Stability, by Mohammad Afzali et al.
Summary of Re-tuning: Overcoming the Compositionality Limits Of Large Language Models with Recursive Tuning, by Eric Pasewark et al.
Summary of Revealing the Utilized Rank Of Subspaces Of Learning in Neural Networks, by Isha Garg et al.
Summary of The Impact Of Quantization and Pruning on Deep Reinforcement Learning Models, by Heng Lu et al.
Summary of Training Guarantees Of Neural Network Classification Two-sample Tests by Kernel Analysis, By Varun Khurana et al.
Summary of Simplifying Deep Temporal Difference Learning, by Matteo Gallici et al.
Summary of Fair Submodular Cover, by Wenjing Chen et al.
Summary of D3: Deep Deconvolution Deblurring For Natural Images, by Vamsidhar Saraswathula and Rama Krishna Gorthi (indian Institute Of Technology (iit) Tirupati et al.
Summary of Rpn: Reconciled Polynomial Network Towards Unifying Pgms, Kernel Svms, Mlp and Kan, by Jiawei Zhang
Summary of Associative Recurrent Memory Transformer, by Ivan Rodkin et al.
Summary of Mj-bench: Is Your Multimodal Reward Model Really a Good Judge For Text-to-image Generation?, by Zhaorun Chen et al.
Summary of Amazing Things Come From Having Many Good Models, by Cynthia Rudin et al.
Summary of Explorative Imitation Learning: a Path Signature Approach For Continuous Environments, by Nathan Gavenski et al.
Summary of Explainable Metric Learning For Deflating Data Bias, by Emma Andrews and Prabhat Mishra
Summary of Augmented Bayesian Policy Search, by Mahdi Kallel et al.
Summary of Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates, by Shirley Kokane et al.
Summary of Approximating Two-layer Relu Networks For Hidden State Analysis in Differential Privacy, by Antti Koskela
Summary of Goalplace: Begin with the End in Mind, by Anthony Agnesina et al.
Summary of Not (yet) the Whole Story: Evaluating Visual Storytelling Requires More Than Measuring Coherence, Grounding, and Repetition, by Aditya K Surikuchi et al.
Summary of Remembering Everything Makes You Vulnerable: a Limelight on Machine Unlearning For Personalized Healthcare Sector, by Ahan Chatterjee et al.
Summary of Multimodal Classification Via Modal-aware Interactive Enhancement, by Qing-yuan Jiang et al.
Summary of Leveraging Large Language Models For Integrated Satellite-aerial-terrestrial Networks: Recent Advances and Future Directions, by Shumaila Javaid et al.
Summary of Proximal Point Method For Online Saddle Point Problem, by Qing-xin Meng and Jian-wei Liu
Summary of Understanding the Gains From Repeated Self-distillation, by Divyansh Pareek et al.
Summary of Linear Causal Disentanglement Via Higher-order Cumulants, by Paula Leyes Carreno et al.
Summary of Isomorphic Pruning For Vision Models, by Gongfan Fang et al.
Summary of Randomized Physics-informed Neural Networks For Bayesian Data Assimilation, by Yifei Zong et al.
Summary of Learning to (learn at Test Time): Rnns with Expressive Hidden States, by Yu Sun et al.
Summary of On Scalable Oversight with Weak Llms Judging Strong Llms, by Zachary Kenton et al.
Summary of Xqsv: a Structurally Variable Network to Imitate Human Play in Xiangqi, by Chenliang Zhou
Summary of Unsupervised 4d Cardiac Motion Tracking with Spatiotemporal Optical Flow Networks, by Long Teng et al.
Summary of Rethinking Visual Prompting For Multimodal Large Language Models with External Knowledge, by Yuanze Lin et al.
Summary of Missed Causes and Ambiguous Effects: Counterfactuals Pose Challenges For Interpreting Neural Networks, by Aaron Mueller
Summary of Me, Myself, and Ai: the Situational Awareness Dataset (sad) For Llms, by Rudolf Laine et al.