Paper List

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Summary of Autoregressive Policy Optimization For Constrained Allocation Tasks, by David Winkel et al.
Summary of Understanding the Benefits Of Simclr Pre-training in Two-layer Convolutional Neural Networks, by Han Zhang and Yuan Cao
Summary of Memfusionmap: Working Memory Fusion For Online Vectorized Hd Map Construction, by Jingyu Song et al.
Summary of Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories, by Yueyang Liu et al.
Summary of A Physics-driven Sensor Placement Optimization Methodology For Temperature Field Reconstruction, by Xu Liu et al.
Summary of Dual Cone Gradient Descent For Training Physics-informed Neural Networks, by Youngsik Hwang et al.
Summary of Easy2hard-bench: Standardized Difficulty Labels For Profiling Llm Performance and Generalization, by Mucong Ding et al.
Summary of Multi-agent Reinforcement Learning For Dynamic Dispatching in Material Handling Systems, by Xian Yeow Lee et al.
Summary of Gradient-free Decoder Inversion in Latent Diffusion Models, by Seongmin Hong et al.
Summary of State-free Reinforcement Learning, by Mingyu Chen et al.
Summary of Hierarchical Federated Learning with Multi-timescale Gradient Correction, by Wenzhi Fang et al.
Summary of Review Of Digital Asset Development with Graph Neural Network Unlearning, by Zara Lisbon
Summary of Towards Diverse Device Heterogeneous Federated Learning Via Task Arithmetic Knowledge Integration, by Mahdi Morafah et al.
Summary of Latent Representation Learning For Multimodal Brain Activity Translation, by Arman Afrasiyabi et al.
Summary of A Textgcn-based Decoding Approach For Improving Remote Sensing Image Captioning, by Swadhin Das and Raksha Sharma
Summary of Fairness Without Sensitive Attributes Via Knowledge Sharing, by Hongliang Ni et al.
Summary of Uriel+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base, by Aditya Khan et al.
Summary of Cyclenet: Enhancing Time Series Forecasting Through Modeling Periodic Patterns, by Shengsheng Lin et al.
Summary of Hstfl: a Heterogeneous Federated Learning Framework For Misaligned Spatiotemporal Forecasting, by Shuowei Cai and Hao Liu
Summary of Deep Heterogeneous Contrastive Hyper-graph Learning For In-the-wild Context-aware Human Activity Recognition, by Wen Ge et al.
Summary of Treating Brain-inspired Memories As Priors For Diffusion Model to Forecast Multivariate Time Series, by Muyao Wang and Wenchao Chen and Zhibin Duan and Bo Chen
Summary of Fairness-aware Multiobjective Evolutionary Learning, by Qingquan Zhang and Jialin Liu and Xin Yao
Summary of Whomp: Optimizing Randomized Controlled Trials Via Wasserstein Homogeneity, by Shizhou Xu et al.
Summary of Criticality and Safety Margins For Reinforcement Learning, by Alexander Grushin et al.
Summary of Enhancing Lossy Compression Through Cross-field Information For Scientific Applications, by Youyuan Liu et al.
Summary of Causality-based Subject and Task Fingerprints Using Fmri Time-series Data, by Dachuan Song et al.
Summary of Soar: Self-supervision Optimized Uav Action Recognition with Efficient Object-aware Pretraining, by Ruiqi Xian et al.
Summary of Wavelet-driven Generalizable Framework For Deepfake Face Forgery Detection, by Lalith Bharadwaj Baru et al.
Summary of Towards the Mitigation Of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective, by Yu Wang et al.
Summary of Realistic Evaluation Of Model Merging For Compositional Generalization, by Derek Tam et al.
Summary of Dmc-vb: a Benchmark For Representation Learning For Control with Visual Distractors, by Joseph Ortiz et al.
Summary of Local Prediction-powered Inference, by Yanwu Gu and Dong Xia
Summary of Feddcl: a Federated Data Collaboration Learning As a Hybrid-type Privacy-preserving Framework Based on Federated Learning and Data Collaboration, by Akira Imakura et al.
Summary of Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights, by Pranav Maneriker et al.
Summary of Generative Ai For Fast and Accurate Statistical Computation Of Fluids, by Roberto Molinaro et al.
Summary of Multi-hypotheses Conditioned Point Cloud Diffusion For 3d Human Reconstruction From Occluded Images, by Donghwan Kim et al.
Summary of Discovery and Inversion Of the Viscoelastic Wave Equation in Inhomogeneous Media, by Su Chen et al.
Summary of A Model-constrained Discontinuous Galerkin Network (dgnet) For Compressible Euler Equations with Out-of-distribution Generalization, by Hai V. Nguyen et al.
Summary of Adaptive Learning Of the Latent Space Of Wasserstein Generative Adversarial Networks, by Yixuan Qiu et al.
Summary of Embed and Emulate: Contrastive Representations For Simulation-based Inference, by Ruoxi Jiang et al.
Summary of Vickreyfeedback: Cost-efficient Data Construction For Reinforcement Learning From Human Feedback, by Guoxi Zhang et al.
Summary of A3: Active Adversarial Alignment For Source-free Domain Adaptation, by Chrisantus Eze and Christopher Crick
Summary of Robust Network Learning Via Inverse Scale Variational Sparsification, by Zhiling Zhou et al.
Summary of Infer Human’s Intentions Before Following Natural Language Instructions, by Yanming Wan et al.
Summary of Multi-view and Multi-scale Alignment For Contrastive Language-image Pre-training in Mammography, by Yuexi Du et al.
Summary of Self-supervised Pretraining For Cardiovascular Magnetic Resonance Cine Segmentation, by Rob A. J. De Mooij et al.
Summary of Most Influential Subset Selection: Challenges, Promises, and Beyond, by Yuzheng Hu et al.
Summary of Malpolon: a Framework For Deep Species Distribution Modeling, by Theo Larcher et al.
Summary of Find Rhinos Without Finding Rhinos: Active Learning with Multimodal Imagery Of South African Rhino Habitats, by Lucia Gordon et al.
Summary of Decomposable Transformer Point Processes, by Aristeidis Panos
Summary of A Survey on Neural Architecture Search Based on Reinforcement Learning, by Wenzhu Shao
Summary of Data-prep-kit: Getting Your Data Ready For Llm Application Development, by David Wood et al.
Summary of Jump Diffusion-informed Neural Networks with Transfer Learning For Accurate American Option Pricing Under Data Scarcity, by Qiguo Sun et al.
Summary of Autonomous Network Defence Using Reinforcement Learning, by Myles Foley et al.
Summary of Bridging Ood Detection and Generalization: a Graph-theoretic View, by Han Wang et al.
Summary of Trustworthy Text-to-image Diffusion Models: a Timely and Focused Survey, by Yi Zhang et al.
Summary of Mmmt-if: a Challenging Multimodal Multi-turn Instruction Following Benchmark, by Elliot L. Epstein and Kaisheng Yao and Jing Li and Xinyi Bai and Hamid Palangi
Summary of A Unified View on Learning Unnormalized Distributions Via Noise-contrastive Estimation, by J. Jon Ryu et al.
Summary of Visual Concept Networks: a Graph-based Approach to Detecting Anomalous Data in Deep Neural Networks, by Debargha Ganguly et al.
Summary of Spatial Visibility and Temporal Dynamics: Revolutionizing Field Of View Prediction in Adaptive Point Cloud Video Streaming, by Chen Li et al.
Summary of Disgem: Distractor Generation For Multiple Choice Questions with Span Masking, by Devrim Cavusoglu et al.
Summary of Using Dynamic Loss Weighting to Boost Improvements in Forecast Stability, by Daan Caljon et al.
Summary of Slide: a Machine-learning Based Method For Forced Dynamic Response Estimation Of Multibody Systems, by Peter Manzl et al.
Summary of A Method For Identifying Causality in the Response Of Nonlinear Dynamical Systems, by Joseph Massingham et al.
Summary of How Feature Learning Can Improve Neural Scaling Laws, by Blake Bordelon et al.
Summary of Efficient Arbitrary Precision Acceleration For Large Language Models on Gpu Tensor Cores, by Shaobo Ma et al.
Summary of Graph Reasoning with Large Language Models Via Pseudo-code Prompting, by Konstantinos Skianis et al.
Summary of A Multi-source Data Power Load Forecasting Method Using Attention Mechanism-based Parallel Cnn-gru, by Chao Min et al.
Summary of Remaining Useful Life Prediction For Batteries Utilizing An Explainable Ai Approach with a Predictive Application For Decision-making, by Biplov Paneru et al.
Summary of Sample Compression Unleashed: New Generalization Bounds For Real Valued Losses, by Mathieu Bazinet et al.
Summary of Adaptive Stream Processing on Edge Devices Through Active Inference, by Boris Sedlak et al.
Summary of Beats: Optimizing Llm Mathematical Capabilities with Backverify and Adaptive Disambiguate Based Efficient Tree Search, by Linzhuang Sun et al.
Summary of On Translating Technical Terminology: a Translation Workflow For Machine-translated Acronyms, by Richard Yue et al.
Summary of Predicting Anchored Text From Translation Memories For Machine Translation Using Deep Learning Methods, by Richard Yue et al.
Summary of Hydravit: Stacking Heads For a Scalable Vit, by Janek Haberer et al.
Summary of Supra-laplacian Encoding For Transformer on Dynamic Graphs, by Yannis Karmim et al.
Summary of Dimension-independent Learning Rates For High-dimensional Classification Problems, by Andres Felipe Lerma-pineda et al.
Summary of Safe Time-varying Optimization Based on Gaussian Processes with Spatio-temporal Kernel, by Jialin Li and Marta Zagorowska and Giulia De Pasquale and Alisa Rupenyan and John Lygeros
Summary of Spatiotemporal Learning on Cell-embedded Graphs, by Yuan Mi et al.
Summary of Ifcap: Image-like Retrieval and Frequency-based Entity Filtering For Zero-shot Captioning, by Soeun Lee et al.
Summary of Revisit Anything: Visual Place Recognition Via Image Segment Retrieval, by Kartik Garg et al.
Summary of Inverse Reinforcement Learning with Multiple Planning Horizons, by Jiayu Yao et al.
Summary of Optimal Protocols For Continual Learning Via Statistical Physics and Control Theory, by Francesco Mori et al.
Summary of Benign Overfitting in Token Selection Of Attention Mechanism, by Keitaro Sakamoto and Issei Sato
Summary of Model-free Stochastic Process Modeling and Optimization Using Normalizing Flows, by Eike Cramer
Summary of Explanation Bottleneck Models, by Shin’ya Yamaguchi and Kosuke Nishida
Summary of Efficient Fairness-performance Pareto Front Computation, by Mark Kozdoba et al.
Summary of On the Optimal Memorization Capacity Of Transformers, by Tokio Kajitsuka et al.
Summary of Preserving Logical and Functional Dependencies in Synthetic Tabular Data, by Chaithra Umesh et al.
Summary of Efficient Bias Mitigation Without Privileged Information, by Mateo Espinosa Zarlenga et al.
Summary of Graph Edit Distance with General Costs Using Neural Set Divergence, by Eeshaan Jain et al.
Summary of Artificial Data Point Generation in Clustered Latent Space For Small Medical Datasets, by Yasaman Haghbin et al.
Summary of Mio: a Foundation Model on Multimodal Tokens, by Zekun Wang et al.
Summary of Recent Advances in Interpretable Machine Learning Using Structure-based Protein Representations, by Luiz Felipe Vecchietti et al.
Summary of Pgn: the Rnn’s New Successor Is Effective For Long-range Time Series Forecasting, by Yuxin Jia et al.
Summary of Byzantine-robust Aggregation For Securing Decentralized Federated Learning, by Diego Cajaraville-aboy et al.
Summary of Confidence Intervals Uncovered: Are We Ready For Real-world Medical Imaging Ai?, by Evangelia Christodoulou et al.
Summary of Enriched Functional Tree-based Classifiers: a Novel Approach Leveraging Derivatives and Geometric Features, by Fabrizio Maturo et al.
Summary of Caspformer: Trajectory Prediction From Bev Images with Deformable Attention, by Harsh Yadav et al.
Summary of Continual Learning with Task Specialist, by Indu Solomon et al.