Paper List

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

Summary of Graph Neural Networks For Protein-protein Interactions — a Short Survey, by Mingda Xu et al.
Summary of Aghint: Attribute-guided Representation Learning on Heterogeneous Information Networks with Transformer, by Jinhui Yuan et al.
Summary of Sparsedm: Toward Sparse Efficient Diffusion Models, by Kafeng Wang et al.
Summary of Revealing Data Leakage in Protein Interaction Benchmarks, by Anton Bushuiev et al.
Summary of Multi-objective Evolutionary Gan For Tabular Data Synthesis, by Nian Ran et al.
Summary of Self-supervised Learning Featuring Small-scale Image Dataset For Treatable Retinal Diseases Classification, by Luffina C. Huang et al.
Summary of Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data, by Giannis Daras et al.
Summary of Towards a Novel Perspective on Adversarial Examples Driven by Frequency, By Zhun Zhang et al.
Summary of Deferred Nam: Low-latency Top-k Context Injection Via Deferred Context Encoding For Non-streaming Asr, by Zelin Wu et al.
Summary of Demonstration Of Db-gpt: Next Generation Data Interaction System Empowered by Large Language Models, By Siqiao Xue et al.
Summary of Hellinger-ucb: a Novel Algorithm For Stochastic Multi-armed Bandit Problem and Cold Start Problem in Recommender System, by Ruibo Yang et al.
Summary of Anomaly Correction Of Business Processes Using Transformer Autoencoder, by Ziyou Gong et al.
Summary of Find the Gap: Knowledge Base Reasoning For Visual Question Answering, by Elham J. Barezi et al.
Summary of Two-stage Stance Labeling: User-hashtag Heuristics with Graph Neural Networks, by Joshua Melton et al.
Summary of Masked Autoencoders For Microscopy Are Scalable Learners Of Cellular Biology, by Oren Kraus et al.
Summary of Privacy-enhanced Training-as-a-service For On-device Intelligence: Concept, Architectural Scheme, and Open Problems, by Zhiyuan Wu et al.
Summary of Uncovering Latent Arguments in Social Media Messaging by Employing Llms-in-the-loop Strategy, By Tunazzina Islam et al.
Summary of Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport, by Eduardo Fernandes Montesuma et al.
Summary of Social Choice Should Guide Ai Alignment in Dealing with Diverse Human Feedback, by Vincent Conitzer et al.
Summary of Sparse Attention Regression Network Based Soil Fertility Prediction with Ummaso, by R V Raghavendra Rao et al.
Summary of Tripod: Three Complementary Inductive Biases For Disentangled Representation Learning, by Kyle Hsu and Jubayer Ibn Hamid and Kaylee Burns and Chelsea Finn and Jiajun Wu
Summary of Interpolating Neural Network: a Novel Unification Of Machine Learning and Interpolation Theory, by Chanwook Park et al.
Summary of Optigrad: a Fair and More Efficient Price Elasticity Optimization Via a Gradient Based Learning, by Vincent Grari et al.
Summary of Clustering and Data Augmentation to Improve Accuracy Of Sleep Assessment and Sleep Individuality Analysis, by Shintaro Tamai et al.
Summary of Invariant Subspace Decomposition, by Margherita Lazzaretto et al.
Summary of How to Build the Best Medical Image Segmentation Algorithm Using Foundation Models: a Comprehensive Empirical Study with Segment Anything Model, by Hanxue Gu and Haoyu Dong and Jichen Yang and Maciej A. Mazurowski
Summary of Design and Analysis Of Efficient Attention in Transformers For Social Group Activity Recognition, by Masato Tamura
Summary of Taming Latent Diffusion Model For Neural Radiance Field Inpainting, by Chieh Hubert Lin et al.
Summary of Ctrl-adapter: An Efficient and Versatile Framework For Adapting Diverse Controls to Any Diffusion Model, by Han Lin et al.
Summary of A Strategy Transfer and Decision Support Approach For Epidemic Control in Experience Shortage Scenarios, by X. Xiao et al.
Summary of Detecting Ai Generated Text Based on Nlp and Machine Learning Approaches, by Nuzhat Prova
Summary of A Realistic Protocol For Evaluation Of Weakly Supervised Object Localization, by Shakeeb Murtaza et al.
Summary of Climode: Climate and Weather Forecasting with Physics-informed Neural Odes, by Yogesh Verma et al.
Summary of Geoai Reproducibility and Replicability: a Computational and Spatial Perspective, by Wenwen Li et al.
Summary of Legalpro-bert: Classification Of Legal Provisions by Fine-tuning Bert Large Language Model, By Amit Tewari
Summary of Communication-efficient Hybrid Federated Learning For E-health with Horizontal and Vertical Data Partitioning, by Chong Yu et al.
Summary of Multiple-input Fourier Neural Operator (mifno) For Source-dependent 3d Elastodynamics, by Fanny Lehmann et al.
Summary of Online Estimation Via Offline Estimation: An Information-theoretic Framework, by Dylan J. Foster et al.
Summary of Epistemic Uncertainty Quantification For Pre-trained Neural Network, by Hanjing Wang and Qiang Ji
Summary of Using Long Short-term Memory (lstm) to Merge Precipitation Data Over Mountainous Area in Sierra Nevada, by Yihan Wang et al.
Summary of Salient Object-aware Background Generation Using Text-guided Diffusion Models, by Amir Erfan Eshratifar et al.
Summary of Language Model Cascades: Token-level Uncertainty and Beyond, by Neha Gupta et al.
Summary of Optimal Kernel Tuning Parameter Prediction Using Deep Sequence Models, by Khawir Mahmood et al.
Summary of Eyeformer: Predicting Personalized Scanpaths with Transformer-guided Reinforcement Learning, by Yue Jiang et al.
Summary of Personalized Collaborative Fine-tuning For On-device Large Language Models, by Nicolas Wagner et al.
Summary of Effective Reinforcement Learning Based on Structural Information Principles, by Xianghua Zeng et al.
Summary of Randalign: a Parameter-free Method For Regularizing Graph Convolutional Networks, by Haimin Zhang and Min Xu
Summary of A Replica Analysis Of Under-bagging, by Takashi Takahashi
Summary of Neighbour-level Message Interaction Encoding For Improved Representation Learning on Graphs, by Haimin Zhang and Min Xu
Summary of Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-form Equations, by Krzysztof Kacprzyk et al.
Summary of Fedp3: Federated Personalized and Privacy-friendly Network Pruning Under Model Heterogeneity, by Kai Yi et al.
Summary of Statistical Learning For Constrained Functional Parameters in Infinite-dimensional Models with Applications in Fair Machine Learning, by Razieh Nabi et al.
Summary of A Provable Control Of Sensitivity Of Neural Networks Through a Direct Parameterization Of the Overall Bi-lipschitzness, by Yuri Kinoshita and Taro Toyoizumi
Summary of Unsupervised Federated Optimization at the Edge: D2d-enabled Learning Without Labels, by Satyavrat Wagle et al.
Summary of Hypermono: a Monotonicity-aware Approach to Hyper-relational Knowledge Representation, by Zhiwei Hu et al.
Summary of Explainable Online Unsupervised Anomaly Detection For Cyber-physical Systems Via Causal Discovery From Time Series, by Daniele Meli
Summary of Map-relative Pose Regression For Visual Re-localization, by Shuai Chen et al.
Summary of Reffakd: Resource-efficient Autoencoder-based Knowledge Distillation, by Divyang Doshi and Jung-eun Kim
Summary of Accelerating Ensemble Error Bar Prediction with Single Models Fits, by Vidit Agrawal et al.
Summary of Progressive Knowledge Graph Completion, by Jiayi Li et al.
Summary of Compression Represents Intelligence Linearly, by Yuzhen Huang et al.
Summary of Foundational Challenges in Assuring Alignment and Safety Of Large Language Models, by Usman Anwar et al.
Summary of A Note on Loss Functions and Error Compounding in Model-based Reinforcement Learning, by Nan Jiang
Summary of Classification Tree-based Active Learning: a Wrapper Approach, by Ashna Jose et al.
Summary of Mitigating the Curse Of Dimensionality For Certified Robustness Via Dual Randomized Smoothing, by Song Xia et al.
Summary of Reactive Model Correction: Mitigating Harm to Task-relevant Features Via Conditional Bias Suppression, by Dilyara Bareeva et al.
Summary of Machine Learning-based Optimization Workflow Of the Homogeneity Of Spunbond Nonwovens with Human Validation, by Viny Saajan Victor et al.
Summary of A Self-feedback Knowledge Elicitation Approach For Chemical Reaction Predictions, by Pengfei Liu et al.
Summary of Lora Dropout As a Sparsity Regularizer For Overfitting Control, by Yang Lin et al.
Summary of Bridging Vision and Language Spaces with Assignment Prediction, by Jungin Park and Jiyoung Lee and Kwanghoon Sohn
Summary of Learn Your Reference Model For Real Good Alignment, by Alexey Gorbatovski et al.
Summary of All-in-one Simulation-based Inference, by Manuel Gloeckler et al.
Summary of Closing the Gap in the Trade-off Between Fair Representations and Accuracy, by Biswajit Rout et al.
Summary of Harnessing Gpt-4v(ision) For Insurance: a Preliminary Exploration, by Chenwei Lin et al.
Summary of Antbatchinfer: Elastic Batch Inference in the Kubernetes Cluster, by Siyuan Li et al.
Summary of Lorap: Transformer Sub-layers Deserve Differentiated Structured Compression For Large Language Models, by Guangyan Li et al.
Summary of Ai Competitions and Benchmarks: Dataset Development, by Romain Egele et al.
Summary of Adaptive Patching For High-resolution Image Segmentation with Transformers, by Enzhi Zhang et al.
Summary of Higher Replay Ratio Empowers Sample-efficient Multi-agent Reinforcement Learning, by Linjie Xu et al.
Summary of Unveiling Imitation Learning: Exploring the Impact Of Data Falsity to Large Language Model, by Hyunsoo Cho
Summary of Vflgan: Vertical Federated Learning-based Generative Adversarial Network For Vertically Partitioned Data Publication, by Xun Yuan and Yang Yang and Prosanta Gope and Aryan Pasikhani and Biplab Sikdar
Summary of Convergence Analysis Of Probability Flow Ode For Score-based Generative Models, by Daniel Zhengyu Huang et al.
Summary of Quantization Of Large Language Models with An Overdetermined Basis, by Daniil Merkulov et al.
Summary of Can We Break Free From Strong Data Augmentations in Self-supervised Learning?, by Shruthi Gowda et al.
Summary of Utility-fairness Trade-offs and How to Find Them, by Sepehr Dehdashtian et al.
Summary of Hyperbolic Heterogeneous Graph Attention Networks, by Jongmin Park et al.
Summary of Prime: a Cybergis Platform For Resilience Inference Measurement and Enhancement, by Debayan Mandal et al.
Summary of Improved Object-based Style Transfer with Single Deep Network, by Harshmohan Kulkarni et al.
Summary of Latticeml: a Data-driven Application For Predicting the Effective Young Modulus Of High Temperature Graph Based Architected Materials, by Akshansh Mishra
Summary of Physcene: Physically Interactable 3d Scene Synthesis For Embodied Ai, by Yandan Yang et al.
Summary of Virtually Enriched Nyu Depth V2 Dataset For Monocular Depth Estimation: Do We Need Artificial Augmentation?, by Dmitry Ignatov et al.
Summary of Large Language Models Can Automatically Engineer Features For Few-shot Tabular Learning, by Sungwon Han et al.
Summary of On the Necessity Of Collaboration For Online Model Selection with Decentralized Data, by Junfan Li and Zheshun Wu and Zenglin Xu and Irwin King
Summary of Nonlinear Sparse Variational Bayesian Learning Based Model Predictive Control with Application to Pemfc Temperature Control, by Qi Zhang et al.
Summary of State Space Model For New-generation Network Alternative to Transformers: a Survey, by Xiao Wang et al.
Summary of Inferring Behavior-specific Context Improves Zero-shot Generalization in Reinforcement Learning, by Tidiane Camaret Ndir et al.
Summary of Dynamic Fault Detection and Diagnosis Of Industrial Alkaline Water Electrolyzer Process with Variational Bayesian Dictionary Learning, by Qi Zhang et al.
Summary of Tmpq-dm: Joint Timestep Reduction and Quantization Precision Selection For Efficient Diffusion Models, by Haojun Sun et al.
Summary of Prepacking: a Simple Method For Fast Prefilling and Increased Throughput in Large Language Models, by Siyan Zhao et al.
Summary of Witunet: a U-shaped Architecture Integrating Cnn and Transformer For Improved Feature Alignment and Local Information Fusion, by Bin Wang et al.