Paper List

We recommend you use the search box as this list is very long.

Summary of Graph Neural Networks For Learning Equivariant Representations Of Neural Networks, by Miltiadis Kofinas et al.
Summary of Fusing Domain-specific Content From Large Language Models Into Knowledge Graphs For Enhanced Zero Shot Object State Classification, by Filippos Gouidis et al.
Summary of The Power Of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection, by Mohammad Jafari et al.
Summary of Pessimistic Causal Reinforcement Learning with Mediators For Confounded Offline Data, by Danyang Wang et al.
Summary of Multi-criteria Comparison As a Method Of Advancing Knowledge-guided Machine Learning, by Jason L. Harman and Jaelle Scheuerman
Summary of Near-optimal Solutions Of Constrained Learning Problems, by Juan Elenter et al.
Summary of Complete and Efficient Graph Transformers For Crystal Material Property Prediction, by Keqiang Yan et al.
Summary of Efficient Training Of Learning-based Thermal Power Flow For 4th Generation District Heating Grids, by Andreas Bott et al.
Summary of Superlora: Parameter-efficient Unified Adaptation Of Multi-layer Attention Modules, by Xiangyu Chen et al.
Summary of Knfu: Effective Knowledge Fusion, by S. Jamal Seyedmohammadi et al.
Summary of From Explainable to Interpretable Deep Learning For Natural Language Processing in Healthcare: How Far From Reality?, by Guangming Huang et al.
Summary of Cicle: Conformal In-context Learning For Largescale Multi-class Food Risk Classification, by Korbinian Randl et al.
Summary of Agent-agnostic Centralized Training For Decentralized Multi-agent Cooperative Driving, by Shengchao Yan et al.
Summary of Towards Global Optimality For Practical Average Reward Reinforcement Learning Without Mixing Time Oracles, by Bhrij Patel et al.
Summary of Multistep Inverse Is Not All You Need, by Alexander Levine et al.
Summary of Causality-aware Spatiotemporal Graph Neural Networks For Spatiotemporal Time Series Imputation, by Baoyu Jing et al.
Summary of Enhanced Event-based Video Reconstruction with Motion Compensation, by Siying Liu et al.
Summary of Transfer Learning Beyond Bounded Density Ratios, by Alkis Kalavasis et al.
Summary of Probabilistic Calibration by Design For Neural Network Regression, By Victor Dheur et al.
Summary of Unveil Conditional Diffusion Models with Classifier-free Guidance: a Sharp Statistical Theory, by Hengyu Fu et al.
Summary of Informed Spectral Normalized Gaussian Processes For Trajectory Prediction, by Christian Schlauch et al.
Summary of Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-based Representation, and Multimodal Intelligent Graph Reasoning, by Markus J. Buehler
Summary of Learning Useful Representations Of Recurrent Neural Network Weight Matrices, by Vincent Herrmann et al.
Summary of The Value Of Reward Lookahead in Reinforcement Learning, by Nadav Merlis et al.
Summary of Offline Multitask Representation Learning For Reinforcement Learning, by Haque Ishfaq et al.
Summary of Guiding the Generation Of Counterfactual Explanations Through Temporal Background Knowledge For Predictive Process Monitoring, by Andrei Buliga et al.
Summary of Exploring 3d-aware Latent Spaces For Efficiently Learning Numerous Scenes, by Antoine Schnepf et al.
Summary of Crystalformer: Infinitely Connected Attention For Periodic Structure Encoding, by Tatsunori Taniai et al.
Summary of Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates, by Riccardo Grazzi et al.
Summary of Generalization Error Of Spectral Algorithms, by Maksim Velikanov et al.
Summary of Pita: Physics-informed Trajectory Autoencoder, by Johannes Fischer et al.
Summary of Parmesan: Parameter-free Memory Search and Transduction For Dense Prediction Tasks, by Philip Matthias Winter et al.
Summary of Lsknet: a Foundation Lightweight Backbone For Remote Sensing, by Yuxuan Li et al.
Summary of Meta-prompting For Automating Zero-shot Visual Recognition with Llms, by M. Jehanzeb Mirza et al.
Summary of A Tutorial on Learning From Preferences and Choices with Gaussian Processes, by Alessio Benavoli and Dario Azzimonti
Summary of S-jepa: Towards Seamless Cross-dataset Transfer Through Dynamic Spatial Attention, by Pierre Guetschel et al.
Summary of Low-cost Privacy-preserving Decentralized Learning, by Sayan Biswas et al.
Summary of Sscae — Semantic, Syntactic, and Context-aware Natural Language Adversarial Examples Generator, by Javad Rafiei Asl et al.
Summary of Fuzzy Rough Choquet Distances For Classification, by Adnan Theerens and Chris Cornelis
Summary of Ocr Is All You Need: Importing Multi-modality Into Image-based Defect Detection System, by Chih-chung Hsu and Chia-ming Lee and Chun-hung Sun and Kuang-ming Wu
Summary of Semantic Prompting with Image-token For Continual Learning, by Jisu Han et al.
Summary of Linguacodus: a Synergistic Framework For Transformative Code Generation in Machine Learning Pipelines, by Ekaterina Trofimova et al.
Summary of Rl in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound Under the Local Access Model, by Junyi Fan et al.
Summary of Jora: Jax Tensor-parallel Lora Library For Retrieval Augmented Fine-tuning, by Anique Tahir et al.
Summary of Path-gptomic: a Balanced Multi-modal Learning Framework For Survival Outcome Prediction, by Hongxiao Wang et al.
Summary of Investigating the Benefits Of Projection Head For Representation Learning, by Yihao Xue et al.
Summary of Automated Data Processing and Feature Engineering For Deep Learning and Big Data Applications: a Survey, by Alhassan Mumuni and Fuseini Mumuni
Summary of Divide-and-conquer Posterior Sampling For Denoising Diffusion Priors, by Yazid Janati et al.
Summary of Dreamsampler: Unifying Diffusion Sampling and Score Distillation For Image Manipulation, by Jeongsol Kim et al.
Summary of Layer-diverse Negative Sampling For Graph Neural Networks, by Wei Duan et al.
Summary of Variational Sampling Of Temporal Trajectories, by Jurijs Nazarovs et al.
Summary of Narrative Feature or Structured Feature? a Study Of Large Language Models to Identify Cancer Patients at Risk Of Heart Failure, by Ziyi Chen et al.
Summary of Graph Partial Label Learning with Potential Cause Discovering, by Hang Gao et al.
Summary of Accelerating String-key Learned Index Structures Via Memoization-based Incremental Training, by Minsu Kim et al.
Summary of Fedspu: Personalized Federated Learning For Resource-constrained Devices with Stochastic Parameter Update, by Ziru Niu et al.
Summary of Span-based Optimal Sample Complexity For Weakly Communicating and General Average Reward Mdps, by Matthew Zurek et al.
Summary of Seisfusion: Constrained Diffusion Model with Input Guidance For 3d Seismic Data Interpolation and Reconstruction, by Shuang Wang et al.
Summary of Open-world Semi-supervised Learning For Node Classification, by Yanling Wang et al.
Summary of Uncertainty-calibrated Test-time Model Adaptation Without Forgetting, by Mingkui Tan et al.
Summary of Semantic-enhanced Representation Learning For Road Networks with Temporal Dynamics, by Yile Chen et al.
Summary of State-separated Sarsa: a Practical Sequential Decision-making Algorithm with Recovering Rewards, by Yuto Tanimoto et al.
Summary of A Sober Look at the Robustness Of Clips to Spurious Features, by Qizhou Wang et al.
Summary of Out-of-distribution Detection Should Use Conformal Prediction (and Vice-versa?), by Paul Novello et al.
Summary of Prior-dependent Analysis Of Posterior Sampling Reinforcement Learning with Function Approximation, by Yingru Li and Zhi-quan Luo
Summary of Graph Unitary Message Passing, by Haiquan Qiu et al.
Summary of Cbr — Boosting Adaptive Classification by Retrieval Of Encrypted Network Traffic with Out-of-distribution, By Amir Lukach et al.
Summary of Cpa-enhancer: Chain-of-thought Prompted Adaptive Enhancer For Object Detection Under Unknown Degradations, by Yuwei Zhang et al.
Summary of A Learning-based Solution Approach to the Application Placement Problem in Mobile Edge Computing Under Uncertainty, by Taha-hossein Hejazi et al.
Summary of Cheap Ways Of Extracting Clinical Markers From Texts, by Anastasia Sandu et al.
Summary of A Lie Group Approach to Riemannian Batch Normalization, by Ziheng Chen et al.
Summary of Understanding Diffusion Models by Feynman’s Path Integral, By Yuji Hirono et al.
Summary of Forging the Forger: An Attempt to Improve Authorship Verification Via Data Augmentation, by Silvia Corbara and Alejandro Moreo
Summary of Advanced Knowledge Extraction Of Physical Design Drawings, Translation and Conversion to Cad Formats Using Deep Learning, by Jesher Joshua M et al.
Summary of Multi-relational Graph Neural Network For Out-of-domain Link Prediction, by Asma Sattar and Georgios Deligiorgis and Marco Trincavelli and Davide Bacciu
Summary of A Modified Word Saliency-based Adversarial Attack on Text Classification Models, by Hetvi Waghela et al.
Summary of Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback, By Dong Won Lee et al.
Summary of Sq-llava: Self-questioning For Large Vision-language Assistant, by Guohao Sun et al.
Summary of Graph Machine Learning Based Doubly Robust Estimator For Network Causal Effects, by Seyedeh Baharan Khatami et al.
Summary of Federated Transfer Learning with Differential Privacy, by Mengchu Li et al.
Summary of Independent Rl For Cooperative-competitive Agents: a Mean-field Perspective, by Muhammad Aneeq Uz Zaman et al.
Summary of Colep: Certifiably Robust Learning-reasoning Conformal Prediction Via Probabilistic Circuits, by Mintong Kang et al.
Summary of Igann Sparse: Bridging Sparsity and Interpretability with Non-linear Insight, by Theodor Stoecker et al.
Summary of Transpeaknet: Solvent-aware 2d Nmr Prediction Via Multi-task Pre-training and Unsupervised Learning, by Yunrui Li et al.
Summary of Selfie: Self-interpretation Of Large Language Model Embeddings, by Haozhe Chen et al.
Summary of Energy-based Models with Applications to Speech and Language Processing, by Zhijian Ou
Summary of Iotco2: Assessing the End-to-end Carbon Footprint Of Internet-of-things-enabled Deep Learning, by Fan Chen et al.
Summary of Edge Private Graph Neural Networks with Singular Value Perturbation, by Tingting Tang et al.
Summary of N2f2: Hierarchical Scene Understanding with Nested Neural Feature Fields, by Yash Bhalgat et al.
Summary of Forward Learning Of Graph Neural Networks, by Namyong Park et al.
Summary of Improved Algorithm and Bounds For Successive Projection, by Jiashun Jin et al.
Summary of Fh-tabnet: Multi-class Familial Hypercholesterolemia Detection Via a Multi-stage Tabular Deep Learning, by Sadaf Khademi et al.
Summary of Fagh: Accelerating Federated Learning with Approximated Global Hessian, by Mrinmay Sen et al.
Summary of A Simple Mixture Policy Parameterization For Improving Sample Efficiency Of Cvar Optimization, by Yudong Luo et al.
Summary of Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach, by Franck Tonle et al.
Summary of Robustsentembed: Robust Sentence Embeddings Using Adversarial Self-supervised Contrastive Learning, by Javad Rafiei Asl et al.
Summary of Incorporating Higher-order Structural Information For Graph Clustering, by Qiankun Li et al.
Summary of Proggen: Generating Named Entity Recognition Datasets Step-by-step with Self-reflexive Large Language Models, by Yuzhao Heng et al.
Summary of Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance, by Suryam Arnav Kalra et al.
Summary of Phasic Diversity Optimization For Population-based Reinforcement Learning, by Jingcheng Jiang et al.
Summary of Self-supervised Quantization-aware Knowledge Distillation, by Kaiqi Zhao et al.