Paper List

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