Paper List

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Summary of A Rate-distortion View Of Uncertainty Quantification, by Ifigeneia Apostolopoulou et al.
Summary of Quest: Query-aware Sparsity For Efficient Long-context Llm Inference, by Jiaming Tang et al.
Summary of Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction, by Hamed Karimi and Reza Samavi
Summary of Federated Learning Optimization: a Comparative Study Of Data and Model Exchange Strategies in Dynamic Networks, by Alka Luqman et al.
Summary of Large Language Models As Interpolated and Extrapolated Event Predictors, by Libo Zhang and Yue Ning
Summary of A Unified Graph Selective Prompt Learning For Graph Neural Networks, by Bo Jiang et al.
Summary of Geodesic Distance Between Graphs: a Spectral Metric For Assessing the Stability Of Graph Neural Networks, by Soumen Sikder Shuvo et al.
Summary of Candidate Pseudolabel Learning: Enhancing Vision-language Models by Prompt Tuning with Unlabeled Data, By Jiahan Zhang et al.
Summary of Task Facet Learning: a Structured Approach to Prompt Optimization, by Gurusha Juneja et al.
Summary of Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space, by Mohamed Amine Ketata et al.
Summary of Humor in Ai: Massive Scale Crowd-sourced Preferences and Benchmarks For Cartoon Captioning, by Jifan Zhang et al.
Summary of Mallm-gan: Multi-agent Large Language Model As Generative Adversarial Network For Synthesizing Tabular Data, by Yaobin Ling et al.
Summary of Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation Using Sharpness-aware Training, by Akul Malhotra et al.
Summary of A Theory Of Interpretable Approximations, by Marco Bressan et al.
Summary of Finite-difference-informed Graph Network For Solving Steady-state Incompressible Flows on Block-structured Grids, by Yiye Zou et al.
Summary of Scalable Differentiable Causal Discovery in the Presence Of Latent Confounders with Skeleton Posterior (extended Version), by Pingchuan Ma et al.
Summary of Large Reasoning Models For 3d Floorplanning in Eda: Learning From Imperfections, by Fin Amin et al.
Summary of Large Language Model Enhanced Clustering For News Event Detection, by Adane Nega Tarekegn
Summary of Grad-instructor: Universal Backpropagation with Explainable Evaluation Neural Networks For Meta-learning and Automl, by Ryohei Ino
Summary of Privacy-preserving Heterogeneous Federated Learning For Sensitive Healthcare Data, by Yukai Xu et al.
Summary of Mda: An Interpretable and Scalable Multi-modal Fusion Under Missing Modalities and Intrinsic Noise Conditions, by Lin Fan et al.
Summary of Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions, by Xiao Yang et al.
Summary of Bypass Back-propagation: Optimization-based Structural Pruning For Large Language Models Via Policy Gradient, by Yuan Gao et al.
Summary of Robust Image Classification in the Presence Of Out-of-distribution and Adversarial Samples Using Attractors in Neural Networks, by Nasrin Alipour et al.
Summary of L4gm: Large 4d Gaussian Reconstruction Model, by Jiawei Ren et al.
Summary of Liere: Generalizing Rotary Position Encodings, by Sophie Ostmeier et al.
Summary of Development and Validation Of a Machine Learning Algorithm For Clinical Wellness Visit Classification in Cats and Dogs, by Donald Szlosek et al.
Summary of Enhancing Multilingual Voice Toxicity Detection with Speech-text Alignment, by Joseph Liu et al.
Summary of Analysing Multi-task Regression Via Random Matrix Theory with Application to Time Series Forecasting, by Romain Ilbert et al.
Summary of From Pixels to Prose: a Large Dataset Of Dense Image Captions, by Vasu Singla et al.
Summary of Sigdiffusions: Score-based Diffusion Models For Time Series Via Log-signature Embeddings, by Barbora Barancikova et al.
Summary of Improving the Validity and Practical Usefulness Of Ai/ml Evaluations Using An Estimands Framework, by Olivier Binette and Jerome P. Reiter
Summary of Disentangled Hyperbolic Representation Learning For Heterogeneous Graphs, by Qijie Bai et al.
Summary of A Neuro-symbolic Benchmark Suite For Concept Quality and Reasoning Shortcuts, by Samuele Bortolotti et al.
Summary of Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling, by Tianxiang Zhao and Dongsheng Luo and Xiang Zhang and Suhang Wang
Summary of Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data, by Ziyi Zhang et al.
Summary of Adaptive Randomized Smoothing: Certified Adversarial Robustness For Multi-step Defences, by Saiyue Lyu et al.
Summary of Binary Reward Labeling: Bridging Offline Preference and Reward-based Reinforcement Learning, by Yinglun Xu et al.
Summary of Mint: Multi-network Training For Transfer Learning on Temporal Graphs, by Kiarash Shamsi et al.
Summary of Learning Temporal Logic Predicates From Data with Statistical Guarantees, by Emi Soroka et al.
Summary of Cryospin: Improving Ab-initio Cryo-em Reconstruction with Semi-amortized Pose Inference, by Shayan Shekarforoush et al.
Summary of Dcilp: a Distributed Approach For Large-scale Causal Structure Learning, by Shuyu Dong et al.
Summary of A Label Is Worth a Thousand Images in Dataset Distillation, by Tian Qin et al.
Summary of Active, Anytime-valid Risk Controlling Prediction Sets, by Ziyu Xu et al.
Summary of Crafting Parts For Expressive Object Composition, by Harsh Rangwani et al.
Summary of Selecting Interpretability Techniques For Healthcare Machine Learning Models, by Daniel Sierra-botero et al.
Summary of Universal Randomised Signatures For Generative Time Series Modelling, by Francesca Biagini et al.
Summary of Devbench: a Multimodal Developmental Benchmark For Language Learning, by Alvin Wei Ming Tan et al.
Summary of Semantic Membership Inference Attack Against Large Language Models, by Hamid Mozaffari and Virendra J. Marathe
Summary of Diffusion Synthesizer For Efficient Multilingual Speech to Speech Translation, by Nameer Hirschkind et al.
Summary of Quantifying Variance in Evaluation Benchmarks, by Lovish Madaan et al.
Summary of Early Detection Of Misinformation For Infodemic Management: a Domain Adaptation Approach, by Minjia Mao et al.
Summary of Towards Signal Processing in Large Language Models, by Prateek Verma et al.
Summary of Explicit Word Density Estimation For Language Modelling, by Jovan Andonov et al.
Summary of Optimal Synthesis Embeddings, by Roberto Santana and Mauricio Romero Sicre
Summary of Flextron: Many-in-one Flexible Large Language Model, by Ruisi Cai et al.
Summary of A Conceptual Framework For Trie-augmented Neural Networks (tanns), by Temitayo Adefemi
Summary of Markov Constraint As Large Language Model Surrogate, by Alexandre Bonlarron et al.
Summary of Connected Speech-based Cognitive Assessment in Chinese and English, by Saturnino Luz et al.
Summary of Do As I Do (safely): Mitigating Task-specific Fine-tuning Risks in Large Language Models, by Francisco Eiras et al.
Summary of Mobileaibench: Benchmarking Llms and Lmms For On-device Use Cases, by Rithesh Murthy et al.
Summary of Automatically Labeling Clinical Trial Outcomes: a Large-scale Benchmark For Drug Development, by Chufan Gao et al.
Summary of Relevai-reviewer: a Benchmark on Ai Reviewers For Survey Paper Relevance, by Paulo Henrique Couto et al.
Summary of A Simple, Solid, and Reproducible Baseline For Bridge Bidding Ai, by Haruka Kita et al.
Summary of Beyond Slow Signs in High-fidelity Model Extraction, by Hanna Foerster et al.
Summary of Gradient-based Learning in State-based Potential Games For Self-learning Production Systems, by Steve Yuwono et al.
Summary of Group and Shuffle: Efficient Structured Orthogonal Parametrization, by Mikhail Gorbunov et al.
Summary of Deep Bayesian Active Learning For Preference Modeling in Large Language Models, by Luckeciano C. Melo et al.
Summary of Off-policy Evaluation From Logged Human Feedback, by Aniruddha Bhargava et al.
Summary of Deep Learning Domain Adaptation to Understand Physico-chemical Processes From Fluorescence Spectroscopy Small Datasets: Application to Ageing Of Olive Oil, by Umberto Michelucci et al.
Summary of Bridging the Communication Gap: Artificial Agents Learning Sign Language Through Imitation, by Federico Tavella et al.
Summary of Comparison Of Fine-tuning Strategies For Transfer Learning in Medical Image Classification, by Ana Davila et al.
Summary of Tacco: Task-guided Co-clustering Of Clinical Concepts and Patient Visits For Disease Subtyping Based on Ehr Data, by Ziyang Zhang et al.
Summary of D-npc: Dynamic Neural Point Clouds For Non-rigid View Synthesis From Monocular Video, by Moritz Kappel et al.
Summary of Discovering Influential Text Using Convolutional Neural Networks, by Megan Ayers et al.
Summary of Biomarker Based Cancer Classification Using An Ensemble with Pre-trained Models, by Chongmin Lee and Jihie Kim
Summary of Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis, by Zhang Chen et al.
Summary of Precipitation Nowcasting Using Physics Informed Discriminator Generative Models, by Junzhe Yin et al.
Summary of Ecgmamba: Towards Efficient Ecg Classification with Bissm, by Yupeng Qiang et al.
Summary of Shelf-supervised Cross-modal Pre-training For 3d Object Detection, by Mehar Khurana et al.
Summary of Trustworthy Artificial Intelligence in the Context Of Metrology, by Tameem Adel et al.
Summary of Linear Contextual Bandits with Hybrid Payoff: Revisited, by Nirjhar Das et al.
Summary of On the Computability Of Robust Pac Learning, by Pascale Gourdeau et al.
Summary of Misam: Using Ml in Dataflow Selection Of Sparse-sparse Matrix Multiplication, by Sanjali Yadav et al.
Summary of Igl-bench: Establishing the Comprehensive Benchmark For Imbalanced Graph Learning, by Jiawen Qin et al.
Summary of Sailing in High-dimensional Spaces: Low-dimensional Embeddings Through Angle Preservation, by Jonas Fischer et al.
Summary of Learning Solution-aware Transformers For Efficiently Solving Quadratic Assignment Problem, by Zhentao Tan et al.
Summary of Federated Learning with Flexible Architectures, by Jong-ik Park and Carlee Joe-wong
Summary of Positive-unlabelled Learning For Identifying New Candidate Dietary Restriction-related Genes Among Ageing-related Genes, by Jorge Paz-ruza et al.
Summary of Qqq: Quality Quattuor-bit Quantization For Large Language Models, by Ying Zhang et al.
Summary of What Does Softmax Probability Tell Us About Classifiers Ranking Across Diverse Test Conditions?, by Weijie Tu et al.
Summary of Pown: Prototypical Open-world Node Classification, by Marcel Hoffmann et al.
Summary of Clibench: a Multifaceted and Multigranular Evaluation Of Large Language Models For Clinical Decision Making, by Mingyu Derek Ma et al.
Summary of Finite-time Analysis Of Simultaneous Double Q-learning, by Hyunjun Na et al.
Summary of Forgetting Order Of Continual Learning: Examples That Are Learned First Are Forgotten Last, by Guy Hacohen et al.
Summary of Neural Concept Binder, by Wolfgang Stammer et al.
Summary of Bivlc: Extending Vision-language Compositionality Evaluation with Text-to-image Retrieval, by Imanol Miranda et al.
Summary of Rule Based Learning with Dynamic (graph) Neural Networks, by Florian Seiffarth
Summary of Memory-efficient Optimization with Factorized Hamiltonian Descent, by Son Nguyen et al.
Summary of Outlier Detection in Maritime Environments Using Ais Data and Deep Recurrent Architectures, by Constantine Maganaris et al.