Paper List

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Summary of Enforcing the Principle Of Locality For Physical Simulations with Neural Operators, by Jiangce Chen et al.
Summary of Constrained Reinforcement Learning Under Model Mismatch, by Zhongchang Sun et al.
Summary of Position: Towards Resilience Against Adversarial Examples, by Sihui Dai et al.
Summary of Community-invariant Graph Contrastive Learning, by Shiyin Tan et al.
Summary of Mvmoe: Multi-task Vehicle Routing Solver with Mixture-of-experts, by Jianan Zhou et al.
Summary of The Privacy Power Of Correlated Noise in Decentralized Learning, by Youssef Allouah et al.
Summary of Crossmpt: Cross-attention Message-passing Transformer For Error Correcting Codes, by Seong-joon Park et al.
Summary of Efficient and Flexible Method For Reducing Moderate-size Deep Neural Networks with Condensation, by Tianyi Chen and Zhi-qin John Xu
Summary of Polynomial Chaos Expanded Gaussian Process, by Dominik Polke et al.
Summary of On the Universality Of Self-supervised Representation Learning, by Wenwen Qiang et al.
Summary of Leverage Multi-source Traffic Demand Data Fusion with Transformer Model For Urban Parking Prediction, by Yin Huang et al.
Summary of A Text-based, Generative Deep Learning Model For Soil Reflectance Spectrum Simulation in the Vis-nir (400-2499 Nm) Bands, by Tong Lei and Brian N. Bailey
Summary of Ab-training: a Communication-efficient Approach For Distributed Low-rank Learning, by Daniel Coquelin et al.
Summary of Poisoning Attacks on Federated Learning For Autonomous Driving, by Sonakshi Garg et al.
Summary of Federated Learning with Heterogeneous Data Handling For Robust Vehicular Object Detection, by Ahmad Khalil et al.
Summary of Less Is More: on the Over-globalizing Problem in Graph Transformers, by Yujie Xing et al.
Summary of Continual Learning From Simulated Interactions Via Multitask Prospective Rehearsal For Bionic Limb Behavior Modeling, by Sharmita Dey et al.
Summary of Investigating Self-supervised Image Denoising with Denaturation, by Hiroki Waida et al.
Summary of Sharp Bounds For Sequential Federated Learning on Heterogeneous Data, by Yipeng Li and Xinchen Lyu
Summary of Why Tabular Foundation Models Should Be a Research Priority, by Boris Van Breugel et al.
Summary of Lipschitz Constant Estimation For General Neural Network Architectures Using Control Tools, by Patricia Pauli et al.
Summary of Synflownet: Design Of Diverse and Novel Molecules with Synthesis Constraints, by Miruna Cretu et al.
Summary of Tabular and Deep Reinforcement Learning For Gittins Index, by Harshit Dhankhar and Kshitij Mishra and Tejas Bodas
Summary of Interpretable Data-driven Anomaly Detection in Industrial Processes with Exiffi, by Davide Frizzo et al.
Summary of Echoscene: Indoor Scene Generation Via Information Echo Over Scene Graph Diffusion, by Guangyao Zhai et al.
Summary of Mtdt: a Multi-task Deep Learning Digital Twin, by Nooshin Yousefzadeh et al.
Summary of Sparsetsf: Modeling Long-term Time Series Forecasting with 1k Parameters, by Shengsheng Lin et al.
Summary of New Bounds on the Cohesion Of Complete-link and Other Linkage Methods For Agglomeration Clustering, by Sanjoy Dasgupta and Eduardo Laber
Summary of The Role Of Model Architecture and Scale in Predicting Molecular Properties: Insights From Fine-tuning Roberta, Bart, and Llama, by Lee Youngmin et al.
Summary of Recovering Labels From Local Updates in Federated Learning, by Huancheng Chen and Haris Vikalo
Summary of Provably Efficient Reinforcement Learning For Adversarial Restless Multi-armed Bandits with Unknown Transitions and Bandit Feedback, by Guojun Xiong et al.
Summary of Intramix: Intra-class Mixup Generation For Accurate Labels and Neighbors, by Shenghe Zheng et al.
Summary of Generative Manufacturing Systems Using Diffusion Models and Chatgpt, by Xingyu Li et al.
Summary of Robust Decentralized Learning with Local Updates and Gradient Tracking, by Sajjad Ghiasvand et al.
Summary of Free: Faster and Better Data-free Meta-learning, by Yongxian Wei et al.
Summary of Cactus: Chemistry Agent Connecting Tool-usage to Science, by Andrew D. Mcnaughton et al.
Summary of Context-aware Clustering Using Large Language Models, by Sindhu Tipirneni et al.
Summary of Estimate the Building Height at a 10-meter Resolution Based on Sentinel Data, by Xin Yan
Summary of Progressive Feedforward Collapse Of Resnet Training, by Sicong Wang and Kuo Gai and Shihua Zhang
Summary of Spider: a Unified Framework For Context-dependent Concept Segmentation, by Xiaoqi Zhao et al.
Summary of On Oversquashing in Graph Neural Networks Through the Lens Of Dynamical Systems, by Alessio Gravina et al.
Summary of Efficient and Adaptive Posterior Sampling Algorithms For Bandits, by Bingshan Hu et al.
Summary of Non-clairvoyant Scheduling with Partial Predictions, by Ziyad Benomar et al.
Summary of Network Reconstruction Via the Minimum Description Length Principle, by Tiago P. Peixoto
Summary of Modeling Caption Diversity in Contrastive Vision-language Pretraining, by Samuel Lavoie et al.
Summary of On the Weight Dynamics Of Learning Networks, by Nahal Sharafi et al.
Summary of Leveraging Sub-optimal Data For Human-in-the-loop Reinforcement Learning, by Calarina Muslimani and Matthew E. Taylor
Summary of Soft Preference Optimization: Aligning Language Models to Expert Distributions, by Arsalan Sharifnassab et al.
Summary of More Is Better: Deep Domain Adaptation with Multiple Sources, by Sicheng Zhao et al.
Summary of Clipartt: Adaptation Of Clip to New Domains at Test Time, by Gustavo Adolfo Vargas Hakim and David Osowiechi and Mehrdad Noori and Milad Cheraghalikhani and Ali Bahri and Moslem Yazdanpanah and Ismail Ben Ayed and Christian Desrosiers
Summary of Icu Bloodstream Infection Prediction: a Transformer-based Approach For Ehr Analysis, by Ortal Hirszowicz and Dvir Aran
Summary of Error Exponent in Agnostic Pac Learning, by Adi Hendel and Meir Feder
Summary of Locality Regularized Reconstruction: Structured Sparsity and Delaunay Triangulations, by Marshall Mueller et al.
Summary of Communication-efficient Training Workload Balancing For Decentralized Multi-agent Learning, by Seyed Mahmoud Sajjadi Mohammadabadi et al.
Summary of Efficient Algorithms For Learning Monophonic Halfspaces in Graphs, by Marco Bressan et al.
Summary of Beyond Human Vision: the Role Of Large Vision Language Models in Microscope Image Analysis, by Prateek Verma et al.
Summary of Markov Flow Policy — Deep Mc, by Nitsan Soffair et al.
Summary of Whale-fl: Wireless and Heterogeneity Aware Latency Efficient Federated Learning Over Mobile Devices Via Adaptive Subnetwork Scheduling, by Huai-an Su et al.
Summary of Lotus: Improving Transformer Efficiency with Sparsity Pruning and Data Lottery Tickets, by Ojasw Upadhyay
Summary of Machine Learning Techniques For Data Reduction Of Climate Applications, by Xiao Li and Qian Gong and Jaemoon Lee and Scott Klasky and Anand Rangarajan and Sanjay Ranka
Summary of Mesa: Cooperative Meta-exploration in Multi-agent Learning Through Exploiting State-action Space Structure, by Zhicheng Zhang et al.
Summary of Quantum Federated Learning Experiments in the Cloud with Data Encoding, by Shiva Raj Pokhrel et al.
Summary of Transformer-based Self-supervised Learning For Histopathological Classification Of Ischemic Stroke Clot Origin, by K. Yeh et al.
Summary of De-biasing Models Of Biased Decisions: a Comparison Of Methods Using Mortgage Application Data, by Nicholas Tenev
Summary of Scaling and Renormalization in High-dimensional Regression, by Alexander Atanasov et al.
Summary of Investigating Automatic Scoring and Feedback Using Large Language Models, by Gloria Ashiya Katuka et al.
Summary of Causal Evaluation Of Language Models, by Sirui Chen et al.
Summary of Multigroup Robustness, by Lunjia Hu et al.
Summary of Hugo — Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology Approach, by Malte Lehna et al.
Summary of Queue-based Eco-driving at Roundabouts with Reinforcement Learning, by Anna-lena Schlamp et al.
Summary of Gaussian Universality in Neural Network Dynamics with Generalized Structured Input Distributions, by Jaeyong Bae et al.
Summary of Gradient-based Automatic Mixed Precision Quantization For Neural Networks On-chip, by Chang Sun et al.
Summary of Learning to Compose: Improving Object Centric Learning by Injecting Compositionality, By Whie Jung et al.
Summary of Rst-lora: a Discourse-aware Low-rank Adaptation For Long Document Abstractive Summarization, by Dongqi Liu and Vera Demberg
Summary of No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in Ppo, by Skander Moalla et al.
Summary of Is Bigger Edit Batch Size Always Better? — An Empirical Study on Model Editing with Llama-3, by Junsang Yoon et al.
Summary of Self-play Preference Optimization For Language Model Alignment, by Yue Wu and Zhiqing Sun and Huizhuo Yuan and Kaixuan Ji and Yiming Yang and Quanquan Gu
Summary of Interactive Analysis Of Llms Using Meaningful Counterfactuals, by Furui Cheng et al.
Summary of Shed: Shapley-based Automated Dataset Refinement For Instruction Fine-tuning, by Yexiao He and Ziyao Wang and Zheyu Shen and Guoheng Sun and Yucong Dai and Yongkai Wu and Hongyi Wang and Ang Li
Summary of Evaluating Tool-augmented Agents in Remote Sensing Platforms, by Simranjit Singh et al.
Summary of Homonym Sense Disambiguation in the Georgian Language, by Davit Melikidze et al.
Summary of Adapting Open-source Large Language Models For Cost-effective, Expert-level Clinical Note Generation with On-policy Reinforcement Learning, by Hanyin Wang et al.
Summary of Lora Land: 310 Fine-tuned Llms That Rival Gpt-4, a Technical Report, by Justin Zhao et al.
Summary of Why Does Knowledge Distillation Work? Rethink Its Attention and Fidelity Mechanism, by Chenqi Guo et al.
Summary of A Self-explaining Neural Architecture For Generalizable Concept Learning, by Sanchit Sinha et al.
Summary of Arbitrary Time Information Modeling Via Polynomial Approximation For Temporal Knowledge Graph Embedding, by Zhiyu Fang et al.
Summary of Variational Bayesian Methods For a Tree-structured Stick-breaking Process Mixture Of Gaussians by Application Of the Bayes Codes For Context Tree Models, By Yuta Nakahara
Summary of Ucb-driven Utility Function Search For Multi-objective Reinforcement Learning, by Yucheng Shi et al.
Summary of Conformal Risk Control For Ordinal Classification, by Yunpeng Xu et al.
Summary of Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models, by Rishav Mukherji et al.
Summary of Metarm: Shifted Distributions Alignment Via Meta-learning, by Shihan Dou et al.
Summary of Geometric Insights Into Focal Loss: Reducing Curvature For Enhanced Model Calibration, by Masanari Kimura and Hiroki Naganuma
Summary of Monte Carlo Tree Search Boosts Reasoning Via Iterative Preference Learning, by Yuxi Xie et al.
Summary of Rag-based Explainable Prediction Of Road Users Behaviors For Automated Driving Using Knowledge Graphs and Large Language Models, by Mohamed Manzour Hussien et al.
Summary of Counterfactual Explanations For Deep Learning-based Traffic Forecasting, by Rushan Wang et al.
Summary of A Comprehensive Survey Of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges, by Zhengzhao Feng et al.
Summary of Explainable Automatic Grading with Neural Additive Models, by Aubrey Condor et al.
Summary of On the Relevance Of Byzantine Robust Optimization Against Data Poisoning, by Sadegh Farhadkhani et al.
Summary of Fmlfs: a Federated Multi-label Feature Selection Based on Information Theory in Iot Environment, by Afsaneh Mahanipour et al.
Summary of Derivative-based Regularization For Regression, by Enrico Lopedoto et al.