Paper List

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Summary of Are We Ready For Out-of-distribution Detection in Digital Pathology?, by Ji-hun Oh et al.
Summary of Fsp-laplace: Function-space Priors For the Laplace Approximation in Bayesian Deep Learning, by Tristan Cinquin et al.
Summary of Attention Based Simple Primitives For Open World Compositional Zero-shot Learning, by Ans Munir et al.
Summary of Motif-consistent Counterfactuals with Adversarial Refinement For Graph-level Anomaly Detection, by Chunjing Xiao et al.
Summary of Mixture Of Experts Based Multi-task Supervise Learning From Crowds, by Tao Han et al.
Summary of Analyzing and Bridging the Gap Between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning, by Shuyu Yin et al.
Summary of Deep Time Series Models: a Comprehensive Survey and Benchmark, by Yuxuan Wang et al.
Summary of Auditing Local Explanations Is Hard, by Robi Bhattacharjee et al.
Summary of Hierarchical Stage-wise Training Of Linked Deep Neural Networks For Multi-building and Multi-floor Indoor Localization Based on Wi-fi Rssi Fingerprinting, by Sihao Li et al.
Summary of Cod, Towards An Interpretable Medical Agent Using Chain Of Diagnosis, by Junying Chen et al.
Summary of Mean Teacher Based Ssl Framework For Indoor Localization Using Wi-fi Rssi Fingerprinting, by Sihao Li et al.
Summary of A Deep Latent Variable Model For Semi-supervised Multi-unit Soft Sensing in Industrial Processes, by Bjarne Grimstad et al.
Summary of Reconstruct the Pruned Model Without Any Retraining, by Pingjie Wang et al.
Summary of Risc-v Rvv Efficiency For Ann Algorithms, by Konstantin Rumyantsev et al.
Summary of Capturing Style in Author and Document Representation, by Enzo Terreau and Antoine Gourru and Julien Velcin
Summary of Geometric Active Exploration in Markov Decision Processes: the Benefit Of Abstraction, by Riccardo De Santi et al.
Summary of Open-world Visual Reasoning by a Neuro-symbolic Program Of Zero-shot Symbols, By Gertjan Burghouts et al.
Summary of Correcting the Mythos Of Kl-regularization: Direct Alignment Without Overoptimization Via Chi-squared Preference Optimization, by Audrey Huang et al.
Summary of Improving Out-of-distribution Generalization Of Trajectory Prediction For Autonomous Driving Via Polynomial Representations, by Yue Yao et al.
Summary of Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information, By Fedor Sergeev et al.
Summary of Enhancing Out-of-vocabulary Performance Of Indian Tts Systems For Practical Applications Through Low-effort Data Strategies, by Srija Anand et al.
Summary of All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces Of Generative Image Models, by Charumathi Badrinath et al.
Summary of Sa-dvae: Improving Zero-shot Skeleton-based Action Recognition by Disentangled Variational Autoencoders, By Sheng-wei Li and Zi-xiang Wei and Wei-jie Chen and Yi-hsin Yu and Chih-yuan Yang and Jane Yung-jen Hsu
Summary of Krait: a Backdoor Attack Against Graph Prompt Tuning, by Ying Song et al.
Summary of Trialenroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models, by Ling Yue et al.
Summary of Audio-visual Generalized Zero-shot Learning the Easy Way, by Shentong Mo et al.
Summary of Mo-emt-nas: Multi-objective Continuous Transfer Of Architectural Knowledge Between Tasks From Different Datasets, by Peng Liao et al.
Summary of Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-user Power Allocation, by Kangwei Qi et al.
Summary of A Light-weight and Efficient Punctuation and Word Casing Prediction Model For On-device Streaming Asr, by Jian You et al.
Summary of Integrated Hardware Architecture and Device Placement Search, by Irene Wang et al.
Summary of Pg-rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods, by Woojae Jeon et al.
Summary of Out-of-distribution Detection Through Soft Clustering with Non-negative Kernel Regression, by Aryan Gulati et al.
Summary of Preset-voice Matching For Privacy Regulated Speech-to-speech Translation Systems, by Daniel Platnick et al.
Summary of Hhgt: Hierarchical Heterogeneous Graph Transformer For Heterogeneous Graph Representation Learning, by Qiuyu Zhu et al.
Summary of Compressed Models Are Not Miniature Versions Of Large Models, by Rohit Raj Rai et al.
Summary of Spadit: Diffusion Transformer For Spatial Gene Expression Prediction Using Scrna-seq, by Xiaoyu Li et al.
Summary of Data-driven Estimation Of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learning, by George V. Moustakides
Summary of Robust Multivariate Time Series Forecasting Against Intra- and Inter-series Transitional Shift, by Hui He et al.
Summary of Scalable Thompson Sampling Via Ensemble++ Agent, by Yingru Li et al.
Summary of Linr: Model Based Neural Retrieval on Gpus at Linkedin, by Fedor Borisyuk et al.
Summary of Evaluating Large Language Models For Anxiety and Depression Classification Using Counseling and Psychotherapy Transcripts, by Junwei Sun et al.
Summary of Transformers with Stochastic Competition For Tabular Data Modelling, by Andreas Voskou et al.
Summary of Non-contact Breath Rate Classification Using Svm Model and Mmwave Radar Sensor Data, by Mohammad Wassaf Ali et al.
Summary of Surroflow: a Flow-based Surrogate Model For Parameter Space Exploration and Uncertainty Quantification, by Jingyi Shen et al.
Summary of Whitening Not Recommended For Classification Tasks in Llms, by Ali Forooghi et al.
Summary of Hybrid Dynamic Pruning: a Pathway to Efficient Transformer Inference, by Ghadeer Jaradat et al.
Summary of Maintenance Strategies For Sewer Pipes with Multi-state Degradation and Deep Reinforcement Learning, by Lisandro A. Jimenez-roa et al.
Summary of The 2024 Foundation Model Transparency Index, by Rishi Bommasani et al.
Summary of A Survey on Universal Approximation Theorems, by Midhun T Augustine
Summary of Retrieval-enhanced Machine Learning: Synthesis and Opportunities, by to Eun Kim et al.
Summary of Beyond the Veil Of Similarity: Quantifying Semantic Continuity in Explainable Ai, by Qi Huang et al.
Summary of Leveraging Environment Interaction For Automated Pddl Translation and Planning with Large Language Models, by Sadegh Mahdavi et al.
Summary of Improving Sam Requires Rethinking Its Optimization Formulation, by Wanyun Xie et al.
Summary of Sharpness-diversity Tradeoff: Improving Flat Ensembles with Sharpbalance, by Haiquan Lu et al.
Summary of Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation, by Nathaniel Dean and Dilip Sarkar
Summary of Sparsity-based Safety Conservatism For Constrained Offline Reinforcement Learning, by Minjae Cho et al.
Summary of Fighting Sampling Bias: a Framework For Training and Evaluating Credit Scoring Models, by Nikita Kozodoi et al.
Summary of A Resolution Independent Neural Operator, by Bahador Bahmani et al.
Summary of High-quality Tabular Data Generation Using Post-selected Vae, by Volodymyr Shulakov
Summary of Colormae: Exploring Data-independent Masking Strategies in Masked Autoencoders, by Carlos Hinojosa et al.
Summary of Universal Facial Encoding Of Codec Avatars From Vr Headsets, by Shaojie Bai et al.
Summary of Dropkan: Regularizing Kans by Masking Post-activations, By Mohammed Ghaith Altarabichi
Summary of A Novel Gan Approach to Augment Limited Tabular Data For Short-term Substance Use Prediction, by Nguyen Thach et al.
Summary of Smlt-mugc: Small, Medium, and Large Texts — Machine Versus User-generated Content Detection and Comparison, by Anjali Rawal et al.
Summary of A Depression Detection Method Based on Multi-modal Feature Fusion Using Cross-attention, by Shengjie Li et al.
Summary of Autoflow: Automated Workflow Generation For Large Language Model Agents, by Zelong Li et al.
Summary of The Solution For the Pst-kdd-2024 Oag-challenge, by Shupeng Zhong et al.
Summary of Knowledge-based Consistency Testing Of Large Language Models, by Sai Sathiesh Rajan et al.
Summary of Metabench — a Sparse Benchmark Of Reasoning and Knowledge in Large Language Models, by Alex Kipnis et al.
Summary of Esqa: Event Sequences Question Answering, by Irina Abdullaeva et al.
Summary of Identifying the Source Of Generation For Large Language Models, by Bumjin Park and Jaesik Choi
Summary of Scaling Retrieval-based Language Models with a Trillion-token Datastore, by Rulin Shao et al.
Summary of Automated Justification Production For Claim Veracity in Fact Checking: a Survey on Architectures and Approaches, by Islam Eldifrawi et al.
Summary of Limits to Predicting Online Speech Using Large Language Models, by Mina Remeli et al.
Summary of Large Language Models Can Impersonate Politicians and Other Public Figures, by Steffen Herbold et al.
Summary of Ai Ai Bias: Large Language Models Favor Their Own Generated Content, by Walter Laurito et al.
Summary of Grounding and Evaluation For Large Language Models: Practical Challenges and Lessons Learned (survey), by Krishnaram Kenthapadi and Mehrnoosh Sameki and Ankur Taly
Summary of Beyond Kv Caching: Shared Attention For Efficient Llms, by Bingli Liao and Danilo Vasconcellos Vargas
Summary of Metatool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation, by Xiaohan Wang et al.
Summary of Evaluation Of Rag Metrics For Question Answering in the Telecom Domain, by Sujoy Roychowdhury et al.
Summary of Large Visual-language Models Are Also Good Classifiers: a Study Of In-context Multimodal Fake News Detection, by Ye Jiang and Yimin Wang
Summary of Cross-modal Augmentation For Few-shot Multimodal Fake News Detection, by Ye Jiang et al.
Summary of Instructav: Instruction Fine-tuning Large Language Models For Authorship Verification, by Yujia Hu et al.
Summary of Abstraction Alignment: Comparing Model-learned and Human-encoded Conceptual Relationships, by Angie Boggust and Hyemin Bang and Hendrik Strobelt and Arvind Satyanarayan
Summary of Unite: a Survey and Unified Pipeline For Pre-training Spatiotemporal Trajectory Embeddings, by Yan Lin et al.
Summary of End-to-end Stroke Imaging Analysis, Using Reservoir Computing-based Effective Connectivity, and Interpretable Artificial Intelligence, by Wojciech Ciezobka et al.
Summary of Estimate Epidemiological Parameters Given Partial Observations Based on Algebraically Observable Pinns, by Mizuka Komatsu
Summary of Dp-kan: Differentially Private Kolmogorov-arnold Networks, by Nikita P. Kalinin et al.
Summary of On Diversity in Discriminative Neural Networks, by Brahim Oubaha et al.
Summary of Patch-level Training For Large Language Models, by Chenze Shao et al.
Summary of A Methodology Establishing Linear Convergence Of Adaptive Gradient Methods Under Pl Inequality, by Kushal Chakrabarti and Mayank Baranwal
Summary of Enhancing the Utility Of Privacy-preserving Cancer Classification Using Synthetic Data, by Richard Osuala et al.
Summary of An Evaluation Of Continual Learning For Advanced Node Semiconductor Defect Inspection, by Amit Prasad et al.
Summary of A Unifying Post-processing Framework For Multi-objective Learn-to-defer Problems, by Mohammad-amin Charusaie et al.
Summary of Comparing Federated Stochastic Gradient Descent and Federated Averaging For Predicting Hospital Length Of Stay, by Mehmet Yigit Balik
Summary of Scalable Monte Carlo For Bayesian Learning, by Paul Fearnhead et al.
Summary of A Survey and Taxonomy Of Methods Interpreting Random Forest Models, by Maissae Haddouchi and Abdelaziz Berrado
Summary of Lookupvit: Compressing Visual Information to a Limited Number Of Tokens, by Rajat Koner et al.
Summary of Contrastive Adversarial Training For Unsupervised Domain Adaptation, by Jiahong Chen et al.
Summary of Jigsaw Game: Federated Clustering, by Jinxuan Xu et al.