Paper List

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Summary of One Size Doesn’t Fit All: Predicting the Number Of Examples For In-context Learning, by Manish Chandra et al.
Summary of Causal Multi-label Feature Selection in Federated Setting, by Yukun Song et al.
Summary of Bridging Domains with Approximately Shared Features, by Ziliang Samuel Zhong et al.
Summary of Semi-supervised Multimodal Multi-instance Learning For Aortic Stenosis Diagnosis, by Zhe Huang et al.
Summary of Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest, by Felix H. Krones et al.
Summary of Fairtargetsim: An Interactive Simulator For Understanding and Explaining the Fairness Effects Of Target Variable Definition, by Dalia Gala et al.
Summary of Predicting Depression and Anxiety: a Multi-layer Perceptron For Analyzing the Mental Health Impact Of Covid-19, by David Fong and Tianshu Chu and Matthew Heflin and Xiaosi Gu and Oshani Seneviratne
Summary of Texture Image Retrieval Using a Classification and Contourlet-based Features, by Asal Rouhafzay et al.
Summary of Ensemble Language Models For Multilingual Sentiment Analysis, by Md Arid Hasan
Summary of Generalization Of Graph Neural Networks Through the Lens Of Homomorphism, by Shouheng Li et al.
Summary of Framequant: Flexible Low-bit Quantization For Transformers, by Harshavardhan Adepu et al.
Summary of Local Vertex Colouring Graph Neural Networks, by Shouheng Li et al.
Summary of Learning the Irreversible Progression Trajectory Of Alzheimer’s Disease, by Yipei Wang et al.
Summary of Mace: Mass Concept Erasure in Diffusion Models, by Shilin Lu et al.
Summary of Towards In-vehicle Multi-task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models, by Esmaeil Seraj and Walter Talamonti
Summary of Domain Adversarial Active Learning For Domain Generalization Classification, by Jianting Chen et al.
Summary of An Improved Analysis Of Langevin Algorithms with Prior Diffusion For Non-log-concave Sampling, by Xunpeng Huang et al.
Summary of Are You Being Tracked? Discover the Power Of Zero-shot Trajectory Tracing with Llms!, by Huanqi Yang et al.
Summary of Probabilistic Neural Circuits, by Pedro Zuidberg Dos Martires
Summary of Linearapt: An Adaptive Algorithm For the Fixed-budget Thresholding Linear Bandit Problem, by Yun-ang Wu et al.
Summary of Cooperative Classification and Rationalization For Graph Generalization, by Linan Yue et al.
Summary of Unicorn: Ultrasound Nakagami Imaging Via Score Matching and Adaptation, by Kwanyoung Kim et al.
Summary of Editing Conceptual Knowledge For Large Language Models, by Xiaohan Wang et al.
Summary of Pearl: Personalized Privacy Of Human-centric Systems Using Early-exit Reinforcement Learning, by Mojtaba Taherisadr et al.
Summary of Towards Efficient Replay in Federated Incremental Learning, by Yichen Li et al.
Summary of Diffred: Dimensionality Reduction Guided by Stable Rank, By Prarabdh Shukla et al.
Summary of Thread Detection and Response Generation Using Transformers with Prompt Optimisation, by Kevin Joshua T et al.
Summary of Semres-ddpm: Residual Network Based Diffusion Modelling Applied to Imbalanced Data, by Ming Zheng et al.
Summary of General Surgery Vision Transformer: a Video Pre-trained Foundation Model For General Surgery, by Samuel Schmidgall et al.
Summary of Robust Emotion Recognition in Context Debiasing, by Dingkang Yang et al.
Summary of Can Generative Models Improve Self-supervised Representation Learning?, by Sana Ayromlou et al.
Summary of Calibrating Large Language Models Using Their Generations Only, by Dennis Ulmer et al.
Summary of Enhancing Classification Performance Via Reinforcement Learning For Feature Selection, by Younes Ghazagh Jahed et al.
Summary of Dissecting Deep Rl with High Update Ratios: Combatting Value Divergence, by Marcel Hussing et al.
Summary of Detectors For Safe and Reliable Llms: Implementations, Uses, and Limitations, by Swapnaja Achintalwar et al.
Summary of Reinforcement Learning Paycheck Optimization For Multivariate Financial Goals, by Melda Alaluf et al.
Summary of Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape, by Tiejin Chen et al.
Summary of Hard-label Based Small Query Black-box Adversarial Attack, by Jeonghwan Park et al.
Summary of Grafting: Making Random Forests Consistent, by Nicholas Waltz
Summary of Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark, by Xiaowei Qian et al.
Summary of Few-shot Cross-lingual Transfer For Prompting Large Language Models in Low-resource Languages, by Christopher Toukmaji
Summary of Multi-conditioned Graph Diffusion For Neural Architecture Search, by Rohan Asthana et al.
Summary of Persian Slang Text Conversion to Formal and Deep Learning Of Persian Short Texts on Social Media For Sentiment Classification, by Mohsen Khazeni et al.
Summary of Spectral Clustering Of Categorical and Mixed-type Data Via Extra Graph Nodes, by Dylan Soemitro et al.
Summary of Efficient Public Health Intervention Planning Using Decomposition-based Decision-focused Learning, by Sanket Shah et al.
Summary of Shielded Deep Reinforcement Learning For Complex Spacecraft Tasking, by Robert Reed et al.
Summary of A Dataset and Benchmark For Hospital Course Summarization with Adapted Large Language Models, by Asad Aali et al.
Summary of Augmentations Vs Algorithms: What Works in Self-supervised Learning, by Warren Morningstar et al.
Summary of Conservative Ddpg — Pessimistic Rl Without Ensemble, by Nitsan Soffair et al.
Summary of Provable Policy Gradient Methods For Average-reward Markov Potential Games, by Min Cheng et al.
Summary of Decoding the Ai Pen: Techniques and Challenges in Detecting Ai-generated Text, by Sara Abdali et al.
Summary of Mg-tsd: Multi-granularity Time Series Diffusion Models with Guided Learning Process, by Xinyao Fan et al.
Summary of Hybrid Quantum-inspired Resnet and Densenet For Pattern Recognition, by Andi Chen et al.
Summary of Membership Testing in Markov Equivalence Classes Via Independence Query Oracles, by Jiaqi Zhang et al.
Summary of Task-oriented Gnns Training on Large Knowledge Graphs For Accurate and Efficient Modeling, by Hussein Abdallah et al.
Summary of Extending Activation Steering to Broad Skills and Multiple Behaviours, by Teun Van Der Weij et al.
Summary of Spatial Clustering Approach For Vessel Path Identification, by Mohamed Abuella et al.
Summary of Optimistic Safety For Online Convex Optimization with Unknown Linear Constraints, by Spencer Hutchinson et al.
Summary of Pr-net: Leveraging Pathway Refined Network Structures For Prostate Cancer Patient Condition Prediction, by R. Li et al.
Summary of Statistical Efficiency Of Distributional Temporal Difference Learning and Freedman’s Inequality in Hilbert Spaces, by Yang Peng et al.
Summary of Optimizing Llm Queries in Relational Workloads, by Shu Liu et al.
Summary of Trafficgpt: Breaking the Token Barrier For Efficient Long Traffic Analysis and Generation, by Jian Qu et al.
Summary of Tlasdi: Thermodynamics-informed Latent Space Dynamics Identification, by Jun Sur Richard Park et al.
Summary of Towards Effective Usage Of Human-centric Priors in Diffusion Models For Text-based Human Image Generation, by Junyan Wang et al.
Summary of Deep Prompt Multi-task Network For Abuse Language Detection, by Jian Zhu et al.
Summary of Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks, by Hristo Papazov et al.
Summary of Looking Ahead to Avoid Being Late: Solving Hard-constrained Traveling Salesman Problem, by Jingxiao Chen et al.
Summary of Unity by Diversity: Improved Representation Learning in Multimodal Vaes, By Thomas M. Sutter et al.
Summary of The Impact Of Quantization on the Robustness Of Transformer-based Text Classifiers, by Seyed Parsa Neshaei et al.
Summary of Switching the Loss Reduces the Cost in Batch (offline) Reinforcement Learning, by Alex Ayoub et al.
Summary of Recovery Guarantees Of Unsupervised Neural Networks For Inverse Problems Trained with Gradient Descent, by Nathan Buskulic et al.
Summary of An Improved Algorithm For Learning Drifting Discrete Distributions, by Alessio Mazzetto
Summary of Histgen: Histopathology Report Generation Via Local-global Feature Encoding and Cross-modal Context Interaction, by Zhengrui Guo et al.
Summary of Considering Nonstationary Within Multivariate Time Series with Variational Hierarchical Transformer For Forecasting, by Muyao Wang et al.
Summary of Poly-view Contrastive Learning, by Amitis Shidani et al.
Summary of Gear: An Efficient Kv Cache Compression Recipe For Near-lossless Generative Inference Of Llm, by Hao Kang et al.
Summary of Computational-statistical Gaps in Gaussian Single-index Models, by Alex Damian et al.
Summary of Tune Without Validation: Searching For Learning Rate and Weight Decay on Training Sets, by Lorenzo Brigato and Stavroula Mougiakakou
Summary of Density-regression: Efficient and Distance-aware Deep Regressor For Uncertainty Estimation Under Distribution Shifts, by Ha Manh Bui and Anqi Liu
Summary of A Concept-based Interpretable Model For the Diagnosis Of Choroid Neoplasias Using Multimodal Data, by Yifan Wu et al.
Summary of Unfamiliar Finetuning Examples Control How Language Models Hallucinate, by Katie Kang et al.
Summary of Evidence, Definitions and Algorithms Regarding the Existence Of Cohesive-convergence Groups in Neural Network Optimization, by Thien An L. Nguyen
Summary of What Is Different Between These Datasets?, by Varun Babbar et al.
Summary of Quantifying Manifolds: Do the Manifolds Learned by Generative Adversarial Networks Converge to the Real Data Manifold, By Anupam Chaudhuri et al.
Summary of Are Human Conversations Special? a Large Language Model Perspective, by Toshish Jawale and Chaitanya Animesh and Sekhar Vallath and Kartik Talamadupula and Larry Heck
Summary of Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision, by Zeyang Zhang et al.
Summary of Reset & Distill: a Recipe For Overcoming Negative Transfer in Continual Reinforcement Learning, by Hongjoon Ahn et al.
Summary of Improving Diffusion-based Generative Models Via Approximated Optimal Transport, by Daegyu Kim et al.
Summary of Benchmarking Large Language Models For Molecule Prediction Tasks, by Zhiqiang Zhong and Kuangyu Zhou and Davide Mottin
Summary of Simulating Battery-powered Tinyml Systems Optimised Using Reinforcement Learning in Image-based Anomaly Detection, by Jared M. Ping and Ken J. Nixon
Summary of Ectonas: Evolutionary Cross-topology Neural Architecture Search, by Elisabeth J. Schiessler and Roland C. Aydin and Christian J. Cyron
Summary of Greedy Feature Selection: Classifier-dependent Feature Selection Via Greedy Methods, by Fabiana Camattari et al.
Summary of Adaptive Split Learning Over Energy-constrained Wireless Edge Networks, by Zuguang Li et al.
Summary of Synthetic Data Generation For System Identification: Leveraging Knowledge Transfer From Similar Systems, by Dario Piga et al.
Summary of Vtrust: Controllable Value Function Based Subset Selection For Data-centric Trustworthy Ai, by Soumi Das et al.
Summary of Overcoming Reward Overoptimization Via Adversarial Policy Optimization with Lightweight Uncertainty Estimation, by Xiaoying Zhang et al.
Summary of Continual Learning and Catastrophic Forgetting, by Gido M. Van De Ven et al.
Summary of Adversarial Sparse Teacher: Defense Against Distillation-based Model Stealing Attacks Using Adversarial Examples, by Eda Yilmaz and Hacer Yalim Keles
Summary of Synthetic Privileged Information Enhances Medical Image Representation Learning, by Lucas Farndale et al.
Summary of Denoising Autoregressive Representation Learning, by Yazhe Li et al.