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