Paper List

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Summary of Adaptive Memory Replay For Continual Learning, by James Seale Smith et al.
Summary of Lean Copilot: Large Language Models As Copilots For Theorem Proving in Lean, by Peiyang Song et al.
Summary of Trajdeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents, by Chen Gong et al.
Summary of Is There No Such Thing As a Bad Question? H4r: Hallucibot For Ratiocination, Rewriting, Ranking, and Routing, by William Watson et al.
Summary of Irag: Advancing Rag For Videos with An Incremental Approach, by Md Adnan Arefeen et al.
Summary of A Mean-field Analysis Of Neural Stochastic Gradient Descent-ascent For Functional Minimax Optimization, by Yuchen Zhu et al.
Summary of Guided Discrete Diffusion For Electronic Health Record Generation, by Jun Han et al.
Summary of Measuring Feature Dependency Of Neural Networks by Collapsing Feature Dimensions in the Data Manifold, By Yinzhu Jin et al.
Summary of Adjoint Sensitivities Of Chaotic Flows Without Adjoint Solvers: a Data-driven Approach, by Defne E. Ozan et al.
Summary of Towards a Foundation Model For Partial Differential Equations: Multi-operator Learning and Extrapolation, by Jingmin Sun et al.
Summary of Improving the Interpretability Of Gnn Predictions Through Conformal-based Graph Sparsification, by Pablo Sanchez-martin et al.
Summary of Transformer Tricks: Removing Weights For Skipless Transformers, by Nils Graef
Summary of When Llms Are Unfit Use Fastfit: Fast and Effective Text Classification with Many Classes, by Asaf Yehudai et al.
Summary of Accounting For Ai and Users Shaping One Another: the Role Of Mathematical Models, by Sarah Dean et al.
Summary of Kdk: a Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning, by Marco Arazzi et al.
Summary of Gradient-regularized Out-of-distribution Detection, by Sina Sharifi et al.
Summary of Sohes: Self-supervised Open-world Hierarchical Entity Segmentation, by Shengcao Cao et al.
Summary of Optimized Dynamic Mode Decomposition For Reconstruction and Forecasting Of Atmospheric Chemistry Data, by Meghana Velegar et al.
Summary of A Big Data Analytics System For Predicting Suicidal Ideation in Real-time Based on Social Media Streaming Data, by Mohamed A. Allayla et al.
Summary of Incremental Self-training For Semi-supervised Learning, by Jifeng Guo et al.
Summary of Model Failure or Data Corruption? Exploring Inconsistencies in Building Energy Ratings with Self-supervised Contrastive Learning, by Qian Xiao et al.
Summary of Efflex: Efficient and Flexible Pipeline For Spatio-temporal Trajectory Graph Modeling and Representation Learning, by Ming Cheng et al.
Summary of Items or Relations — What Do Artificial Neural Networks Learn?, by Renate Krause et al.
Summary of Sup3r: a Semi-supervised Algorithm For Increasing Sparsity, Stability, and Separability in Hierarchy Of Time-surfaces Architectures, by Marco Rasetto et al.
Summary of Aligning Language Models with Human Preferences, by Tomasz Korbak
Summary of Privacy-preserving Ucb Decision Process Verification Via Zk-snarks, by Xikun Jiang et al.
Summary of How to Benchmark Vision Foundation Models For Semantic Segmentation?, by Tommie Kerssies et al.
Summary of Estimating the Hessian Matrix Of Ranking Objectives For Stochastic Learning to Rank with Gradient Boosted Trees, by Jingwei Kang et al.
Summary of Openbezoar: Small, Cost-effective and Open Models Trained on Mixes Of Instruction Data, by Chandeepa Dissanayake et al.
Summary of A Quadrature Approach For General-purpose Batch Bayesian Optimization Via Probabilistic Lifting, by Masaki Adachi et al.
Summary of Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules, by Paul Hofman et al.
Summary of Causalmed: Causality-based Personalized Medication Recommendation Centered on Patient Health State, by Xiang Li et al.
Summary of Neural Networks with Causal Graph Constraints: a New Approach For Treatment Effects Estimation, by Roger Pros et al.
Summary of Dynamic Modality and View Selection For Multimodal Emotion Recognition with Missing Modalities, by Luciana Trinkaus Menon et al.
Summary of Toward Self-improvement Of Llms Via Imagination, Searching, and Criticizing, by Ye Tian and Baolin Peng and Linfeng Song and Lifeng Jin and Dian Yu and Haitao Mi and Dong Yu
Summary of Food Portion Estimation Via 3d Object Scaling, by Gautham Vinod et al.
Summary of Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-centered Models, by Israel A. Laurensi et al.
Summary of Physics-integrated Generative Modeling Using Attentive Planar Normalizing Flow Based Variational Autoencoder, by Sheikh Waqas Akhtar
Summary of Fedeval-llm: Federated Evaluation Of Large Language Models on Downstream Tasks with Collective Wisdom, by Yuanqin He et al.
Summary of Investigating Guiding Information For Adaptive Collocation Point Sampling in Pinns, by Jose Florido et al.
Summary of Debiased Distribution Compression, by Lingxiao Li et al.
Summary of Singular-limit Analysis Of Gradient Descent with Noise Injection, by Anna Shalova et al.
Summary of Bayesian Evidence Estimation From Posterior Samples with Normalizing Flows, by Rahul Srinivasan et al.
Summary of Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair, By Yusuke Sakai et al.
Summary of Enhancing Length Extrapolation in Sequential Models with Pointer-augmented Neural Memory, by Hung Le et al.
Summary of Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data, by Shou Nakano and Yang Liu
Summary of The Dog Walking Theory: Rethinking Convergence in Federated Learning, by Kun Zhai et al.
Summary of Fedmid: a Data-free Method For Using Intermediate Outputs As a Defense Mechanism Against Poisoning Attacks in Federated Learning, by Sungwon Han et al.
Summary of Triforce: Lossless Acceleration Of Long Sequence Generation with Hierarchical Speculative Decoding, by Hanshi Sun et al.
Summary of Expected Coordinate Improvement For High-dimensional Bayesian Optimization, by Dawei Zhan
Summary of Redefining the Shortest Path Problem Formulation Of the Linear Non-gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration, by Hans Jarett J. Ong et al.
Summary of Edgefusion: On-device Text-to-image Generation, by Thibault Castells et al.
Summary of Ld-pruner: Efficient Pruning Of Latent Diffusion Models Using Task-agnostic Insights, by Thibault Castells et al.
Summary of Trusted Multi-view Learning with Label Noise, by Cai Xu et al.
Summary of Vcc-infuse: Towards Accurate and Efficient Selection Of Unlabeled Examples in Semi-supervised Learning, by Shijie Fang et al.
Summary of Sketch-guided Image Inpainting with Partial Discrete Diffusion Process, by Nakul Sharma et al.
Summary of Multi-fidelity Gaussian Process Surrogate Modeling For Regression Problems in Physics, by Kislaya Ravi et al.
Summary of Parafusion: a Large-scale Llm-driven English Paraphrase Dataset Infused with High-quality Lexical and Syntactic Diversity, by Lasal Jayawardena and Prasan Yapa
Summary of Fastvpinns: Tensor-driven Acceleration Of Vpinns For Complex Geometries, by Thivin Anandh et al.
Summary of Pureforest: a Large-scale Aerial Lidar and Aerial Imagery Dataset For Tree Species Classification in Monospecific Forests, by Charles Gaydon et al.
Summary of Longembed: Extending Embedding Models For Long Context Retrieval, by Dawei Zhu et al.
Summary of Ethical-lens: Curbing Malicious Usages Of Open-source Text-to-image Models, by Yuzhu Cai et al.
Summary of One-shot Sequential Federated Learning For Non-iid Data by Enhancing Local Model Diversity, By Naibo Wang et al.
Summary of Sdip: Self-reinforcement Deep Image Prior Framework For Image Processing, by Ziyu Shu and Zhixin Pan
Summary of Explainable Artificial Intelligence Techniques For Accurate Fault Detection and Diagnosis: a Review, by Ahmed Maged et al.
Summary of Variational Bayesian Last Layers, by James Harrison et al.
Summary of Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models, by Shivvrat Arya et al.
Summary of Exploring Dnn Robustness Against Adversarial Attacks Using Approximate Multipliers, by Mohammad Javad Askarizadeh et al.
Summary of Virtual Foundry Graphnet For Metal Sintering Deformation Prediction, by Rachel (lei) Chen et al.
Summary of Improved Generalization Bounds For Communication Efficient Federated Learning, by Peyman Gholami et al.
Summary of Deep Dependency Networks and Advanced Inference Schemes For Multi-label Classification, by Shivvrat Arya et al.
Summary of End-to-end Mesh Optimization Of a Hybrid Deep Learning Black-box Pde Solver, by Shaocong Ma et al.
Summary of Qgen: on the Ability to Generalize in Quantization Aware Training, by Mohammadhossein Askarihemmat et al.
Summary of 3d Object Quality Prediction For Metal Jet Printer with Multimodal Thermal Encoder, by Rachel (lei) Chen et al.
Summary of Requal-lm: Reliability and Equity Through Aggregation in Large Language Models, by Sana Ebrahimi et al.
Summary of Prompt-driven Feature Diffusion For Open-world Semi-supervised Learning, by Marzi Heidari et al.
Summary of When Are Foundation Models Effective? Understanding the Suitability For Pixel-level Classification Using Multispectral Imagery, by Yiqun Xie et al.
Summary of Tempbev: Improving Learned Bev Encoders with Combined Image and Bev Space Temporal Aggregation, by Thomas Monninger et al.
Summary of Sharing Parameter by Conjugation For Knowledge Graph Embeddings in Complex Space, By Xincan Feng et al.
Summary of Tailoring Generative Adversarial Networks For Smooth Airfoil Design, by Joyjit Chattoraj et al.
Summary of Hypergraph Self-supervised Learning with Sampling-efficient Signals, by Fan Li et al.
Summary of Actor-critic Reinforcement Learning with Phased Actor, by Ruofan Wu et al.
Summary of Otcxr: Rethinking Self-supervised Alignment Using Optimal Transport For Chest X-ray Analysis, by Vandan Gorade et al.
Summary of An Efficient Loop and Clique Coarsening Algorithm For Graph Classification, by Xiaorui Qi et al.
Summary of The Causal Chambers: Real Physical Systems As a Testbed For Ai Methodology, by Juan L. Gamella et al.
Summary of Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning, by Xiao Li et al.
Summary of Fast Polypharmacy Side Effect Prediction Using Tensor Factorisation, by Oliver Lloyd et al.
Summary of Short-term Wind Speed Forecasting Model Based on An Attention-gated Recurrent Neural Network and Error Correction Strategy, by Haojian Huang
Summary of Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery For a Tabletop Verification Exercise, by Johannes Hoster et al.
Summary of Ai-enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models For Extracting Cognitive Pathways From Social Media Texts, by Meng Jiang et al.
Summary of A Federated Learning Approach to Privacy Preserving Offensive Language Identification, by Marcos Zampieri et al.
Summary of Taxonomy to Regulation: a (geo)political Taxonomy For Ai Risks and Regulatory Measures in the Eu Ai Act, by Sinan Arda
Summary of Agentkit: Structured Llm Reasoning with Dynamic Graphs, by Yue Wu et al.
Summary of Vc Theory For Inventory Policies, by Yaqi Xie et al.
Summary of Arcjetcv: An Open-source Software to Analyze Material Ablation, by Alexandre Quintart et al.
Summary of Decomposing and Editing Predictions by Modeling Model Computation, By Harshay Shah et al.
Summary of Fedpft: Federated Proxy Fine-tuning Of Foundation Models, by Zhaopeng Peng et al.
Summary of Genfighter: a Generative and Evolutive Textual Attack Removal, by Md Athikul Islam et al.
Summary of Language Ranker: a Metric For Quantifying Llm Performance Across High and Low-resource Languages, by Zihao Li et al.
Summary of On the Scalability Of Gnns For Molecular Graphs, by Maciej Sypetkowski et al.