Paper List
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Summary of Uller: a Unified Language For Learning and Reasoning, by Emile Van Krieken et al.
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Summary of Swarm Learning: a Survey Of Concepts, Applications, and Trends, by Elham Shammar et al.
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Summary of West Gcn-lstm: Weighted Stacked Spatio-temporal Graph Neural Networks For Regional Traffic Forecasting, by Theodoros Theodoropoulos et al.
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Summary of Discovering Robust Biomarkers Of Psychiatric Disorders From Resting-state Functional Mri Via Graph Neural Networks: a Systematic Review, by Yi Hao Chan et al.
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Summary of M-dew: Extending Dynamic Ensemble Weighting to Handle Missing Values, by Adam Catto et al.
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Summary of Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models For Molecular Design, by a N M Nafiz Abeer et al.
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Summary of A Logic For Reasoning About Aggregate-combine Graph Neural Networks, by Pierre Nunn et al.
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Summary of Graphical Reasoning: Llm-based Semi-open Relation Extraction, by Yicheng Tao et al.
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Summary of Block-as-domain Adaptation For Workload Prediction From Fnirs Data, by Jiyang Wang et al.
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Summary of Gmc-pinns: a New General Monte Carlo Pinns Method For Solving Fractional Partial Differential Equations on Irregular Domains, by Shupeng Wang and George Em Karniadakis
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Summary of Machine Learning-based Estimation Of Respiratory Fluctuations in a Healthy Adult Population Using Bold Fmri and Head Motion Parameters, by Abdoljalil Addeh et al.
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Summary of Context-aware Mobile Network Performance Prediction Using Network & Remote Sensing Data, by Ali Shibli et al.
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Summary of Semantically Consistent Video Inpainting with Conditional Diffusion Models, by Dylan Green et al.
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Summary of Rlhf From Heterogeneous Feedback Via Personalization and Preference Aggregation, by Chanwoo Park et al.
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Summary of Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge, by Bin Xiao et al.
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Summary of Imtsp: Solving Min-max Multiple Traveling Salesman Problem with Imperative Learning, by Yifan Guo et al.
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Summary of Joint Optimization Of Piecewise Linear Ensembles, by Matt Raymond et al.
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Summary of Model Quantization and Hardware Acceleration For Vision Transformers: a Comprehensive Survey, by Dayou Du et al.
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Summary of Three-layer Deep Learning Network Random Trees For Fault Detection in Chemical Production Process, by Ming Lu et al.
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Summary of Data Augmentation Policy Search For Long-term Forecasting, by Liran Nochumsohn and Omri Azencot
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Summary of A Careful Examination Of Large Language Model Performance on Grade School Arithmetic, by Hugh Zhang et al.
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Summary of A Survey on Deep Active Learning: Recent Advances and New Frontiers, by Dongyuan Li and Zhen Wang and Yankai Chen and Renhe Jiang and Weiping Ding and Manabu Okumura
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Summary of Practical Dataset Distillation Based on Deep Support Vectors, by Hyunho Lee et al.
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Summary of Decoder Decomposition For the Analysis Of the Latent Space Of Nonlinear Autoencoders with Wind-tunnel Experimental Data, by Yaxin Mo et al.
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Summary of Naturally Supervised 3d Visual Grounding with Language-regularized Concept Learners, by Chun Feng et al.
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Summary of Neural Controlled Differential Equations with Quantum Hidden Evolutions, by Lingyi Yang and Zhen Shao
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Summary of Harmonic Llms Are Trustworthy, by Nicholas S. Kersting et al.
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Summary of A Rank Decomposition For the Topological Classification Of Neural Representations, by Kosio Beshkov and Gaute T. Einevoll
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Summary of Fairness Without Demographics in Human-centered Federated Learning, by Shaily Roy et al.
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Summary of Docci: Descriptions Of Connected and Contrasting Images, by Yasumasa Onoe et al.
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Summary of Kan: Kolmogorov-arnold Networks, by Ziming Liu et al.
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Summary of Leveraging Pre-trained Cnns For Efficient Feature Extraction in Rice Leaf Disease Classification, by Md. Shohanur Islam Sobuj et al.
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Summary of Paoding: a High-fidelity Data-free Pruning Toolkit For Debloating Pre-trained Neural Networks, by Mark Huasong Meng et al.
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Summary of Multidimensional Compressed Sensing For Spectral Light Field Imaging, by Wen Cao et al.
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Summary of Towards Trustable Shap Scores, by Olivier Letoffe et al.
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Summary of Brainode: Dynamic Brain Signal Analysis Via Graph-aided Neural Ordinary Differential Equations, by Kaiqiao Han et al.
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Summary of Recommenadation Aided Caching Using Combinatorial Multi-armed Bandits, by Pavamana K J et al.
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Summary of Creative Beam Search: Llm-as-a-judge For Improving Response Generation, by Giorgio Franceschelli and Mirco Musolesi
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Summary of Graph Neural Network Approach to Semantic Type Detection in Tables, by Ehsan Hoseinzade et al.
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Summary of Data-driven Permissible Safe Control with Barrier Certificates, by Rayan Mazouz et al.
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Summary of Utilizing Machine Learning and 3d Neuroimaging to Predict Hearing Loss: a Comparative Analysis Of Dimensionality Reduction and Regression Techniques, by Trinath Sai Subhash Reddy Pittala et al.
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Summary of Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning For Long-tailed Chest X-ray Classification, by Skylar Chan et al.
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Summary of Discovering Intrinsic Multi-compartment Pharmacometric Models Using Physics Informed Neural Networks, by Imran Nasim et al.
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Summary of Bayesian Functional Connectivity and Graph Convolutional Network For Working Memory Load Classification, by Harshini Gangapuram and Vidya Manian
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Summary of Continual Model-based Reinforcement Learning For Data Efficient Wireless Network Optimisation, by Cengis Hasan et al.
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Summary of More Compute Is What You Need, by Zhen Guo
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Summary of Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation to Mitigate Linkage Attacks, by Mariia Ignashina et al.
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Summary of A Unified Theory Of Exact Inference and Learning in Exponential Family Latent Variable Models, by Sacha Sokoloski
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Summary of Finetuning Greedy Kernel Models by Exchange Algorithms, By Tizian Wenzel and Armin Iske
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Summary of Temporal Graph Odes For Irregularly-sampled Time Series, by Alessio Gravina et al.
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Summary of Generating Robust Counterfactual Witnesses For Graph Neural Networks, by Dazhuo Qiu et al.
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Summary of Physics-informed Machine Learning on Polar Ice: a Survey, by Zesheng Liu et al.
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Summary of Urvfl: Undetectable Data Reconstruction Attack on Vertical Federated Learning, by Duanyi Yao et al.
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Summary of Neural Dynamic Data Valuation, by Zhangyong Liang et al.
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Summary of Data-driven Invertible Neural Surrogates Of Atmospheric Transmission, by James Koch et al.
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Summary of Be Aware Of the Neighborhood Effect: Modeling Selection Bias Under Interference, by Haoxuan Li et al.
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Summary of Analyzing and Exploring Training Recipes For Large-scale Transformer-based Weather Prediction, by Jared D. Willard et al.
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Summary of Attacking Bayes: on the Adversarial Robustness Of Bayesian Neural Networks, by Yunzhen Feng et al.
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Summary of Provably Robust Conformal Prediction with Improved Efficiency, by Ge Yan et al.
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Summary of Masked Multi-query Slot Attention For Unsupervised Object Discovery, by Rishav Pramanik et al.
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Summary of Enhancing Predictive Accuracy in Pharmaceutical Sales Through An Ensemble Kernel Gaussian Process Regression Approach, by Shahin Mirshekari et al.
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Summary of Micro-macro Spatial-temporal Graph-based Encoder-decoder For Map-constrained Trajectory Recovery, by Tonglong Wei et al.
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Summary of Scalable Bayesian Inference in the Era Of Deep Learning: From Gaussian Processes to Deep Neural Networks, by Javier Antoran
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Summary of Flight Trajectory Prediction Using An Enhanced Cnn-lstm Network, by Qinzhi Hao et al.
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Summary of Improved Autoencoder with Lstm Module and Kl Divergence, by Wei Huang et al.
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Summary of Weighted Point Set Embedding For Multimodal Contrastive Learning Toward Optimal Similarity Metric, by Toshimitsu Uesaka et al.
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Summary of Regression For Matrix-valued Data Via Kronecker Products Factorization, by Yin-jen Chen et al.
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Summary of Ai, Pluralism, and (social) Compensation, by Nandhini Swaminathan and David Danks
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Summary of High Dimensional Analysis Reveals Conservative Sharpening and a Stochastic Edge Of Stability, by Atish Agarwala et al.
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Summary of Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation, by Ben Harwood et al.
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Summary of Map-former: Multi-agent-pair Gaussian Joint Prediction, by Marlon Steiner et al.
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Summary of Training-free Graph Neural Networks and the Power Of Labels As Features, by Ryoma Sato
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Summary of On Improving the Algorithm-, Model-, and Data- Efficiency Of Self-supervised Learning, by Yun-hao Cao and Jianxin Wu
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Summary of Statistics and Explainability: a Fruitful Alliance, by Valentina Ghidini
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Summary of Comprehensive Forecasting-based Analysis Of Hybrid and Stacked Stateful/ Stateless Models, by Swayamjit Saha
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Summary of Numeric Reward Machines, by Kristina Levina et al.
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Summary of Pessimistic Value Iteration For Multi-task Data Sharing in Offline Reinforcement Learning, by Chenjia Bai et al.
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Summary of Let’s Focus: Focused Backdoor Attack Against Federated Transfer Learning, by Marco Arazzi et al.
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Summary of How to Sustainably Monitor Ml-enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection, by Rafiullah Omar et al.
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Summary of A Survey Of Imitation Learning Methods, Environments and Metrics, by Nathan Gavenski et al.
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Summary of Kangaroo: Lossless Self-speculative Decoding Via Double Early Exiting, by Fangcheng Liu et al.
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Summary of Dpo Meets Ppo: Reinforced Token Optimization For Rlhf, by Han Zhong et al.
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Summary of Stylus: Automatic Adapter Selection For Diffusion Models, by Michael Luo et al.
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Summary of Dynamic Model Switching For Improved Accuracy in Machine Learning, by Syed Tahir Abbas Hasani
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Summary of Multimodal Fusion on Low-quality Data: a Comprehensive Survey, by Qingyang Zhang et al.
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Summary of Sub-adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error From Sub-adjacent Neighborhoods, by Wenzhen Yue et al.
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Summary of Learning Low-rank Feature For Thorax Disease Classification, by Rajeev Goel et al.
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Summary of Cue-net: Violence Detection Video Analytics with Spatial Cropping, Enhanced Uniformerv2 and Modified Efficient Additive Attention, by Damith Chamalke Senadeera et al.
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Summary of Unleashing the Power Of Multi-task Learning: a Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras, by Jun Yu et al.
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Summary of An Aggregation-free Federated Learning For Tackling Data Heterogeneity, by Yuan Wang et al.
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Summary of Re-grievanceassist: Enhancing Customer Experience Through Ml-powered Complaint Management, by Venkatesh C et al.
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Summary of M3h: Multimodal Multitask Machine Learning For Healthcare, by Dimitris Bertsimas et al.
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Summary of Foundations Of Multisensory Artificial Intelligence, by Paul Pu Liang
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Summary of Towards Generalizable Agents in Text-based Educational Environments: a Study Of Integrating Rl with Llms, by Bahar Radmehr et al.
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Summary of Helper-x: a Unified Instructable Embodied Agent to Tackle Four Interactive Vision-language Domains with Memory-augmented Language Models, by Gabriel Sarch et al.
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Summary of In-context Symbolic Regression: Leveraging Large Language Models For Function Discovery, by Matteo Merler et al.