Paper List

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Summary of Metacognition For Unknown Situations and Environments (muse), by Rodolfo Valiente et al.
Summary of Hf-diff: High-frequency Perceptual Loss and Distribution Matching For One-step Diffusion-based Image Super-resolution, by Shoaib Meraj Sami et al.
Summary of Cood: Concept-based Zero-shot Ood Detection, by Zhendong Liu et al.
Summary of Merlot: a Distilled Llm-based Mixture-of-experts Framework For Scalable Encrypted Traffic Classification, by Yuxuan Chen et al.
Summary of Llmsteer: Improving Long-context Llm Inference by Steering Attention on Reused Contexts, By Zhuohan Gu et al.
Summary of Evaluating Llms Capabilities Towards Understanding Social Dynamics, by Anique Tahir et al.
Summary of Deriving Activation Functions Using Integration, by Allen Hao Huang et al.
Summary of Scalable Deep Metric Learning on Attributed Graphs, by Xiang Li et al.
Summary of A Theory For Compressibility Of Graph Transformers For Transductive Learning, by Hamed Shirzad et al.
Summary of Probably Approximately Precision and Recall Learning, by Lee Cohen et al.
Summary of Megl: Multimodal Explanation-guided Learning, by Yifei Zhang et al.
Summary of Hardware Scaling Trends and Diminishing Returns in Large-scale Distributed Training, by Jared Fernandez et al.
Summary of Improving Ood Generalization Of Pre-trained Encoders Via Aligned Embedding-space Ensembles, by Shuman Peng et al.
Summary of Omnipredicting Single-index Models with Multi-index Models, by Lunjia Hu et al.
Summary of Incremental Label Distribution Learning with Scalable Graph Convolutional Networks, by Ziqi Jia et al.
Summary of Provably Efficient Action-manipulation Attack Against Continuous Reinforcement Learning, by Zhi Luo et al.
Summary of Drl-based Optimization For Aoi and Energy Consumption in C-v2x Enabled Iov, by Zheng Zhang et al.
Summary of Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders, by Charles O’neill et al.
Summary of Virtual Staining Of Label-free Tissue in Imaging Mass Spectrometry, by Yijie Zhang et al.
Summary of Domain Adaptive Unfolded Graph Neural Networks, by Zepeng Zhang et al.
Summary of Long-term Detection System For Six Kinds Of Abnormal Behavior Of the Elderly Living Alone, by Kai Tanaka et al.
Summary of Closer Look at Efficient Inference Methods: a Survey Of Speculative Decoding, by Hyun Ryu et al.
Summary of Unlocking Historical Clinical Trial Data with Align: a Compositional Large Language Model System For Medical Coding, by Nabeel Seedat et al.
Summary of A New Input Convex Neural Network with Application to Options Pricing, by Vincent Lemaire et al.
Summary of Tensor-based Foundations Of Ordinary Least Squares and Neural Network Regression Models, by Roberto Dias Algarte
Summary of Puppet-cnn: Input-adaptive Convolutional Neural Networks with Model Compression Using Ordinary Differential Equation, by Yucheng Xing et al.
Summary of Local Anti-concentration Class: Logarithmic Regret For Greedy Linear Contextual Bandit, by Seok-jin Kim et al.
Summary of Selective Attention: Enhancing Transformer Through Principled Context Control, by Xuechen Zhang et al.
Summary of Signformer Is All You Need: Towards Edge Ai For Sign Language, by Eta Yang
Summary of Tree Species Classification Using Machine Learning and 3d Tomographic Sar — a Case Study in Northern Europe, by Colverd Grace et al.
Summary of Mldgg: Meta-learning For Domain Generalization on Graphs, by Qin Tian et al.
Summary of Trojan Cleansing with Neural Collapse, by Xihe Gu et al.
Summary of Loss-to-loss Prediction: Scaling Laws For All Datasets, by David Brandfonbrener et al.
Summary of Ledro: Llm-enhanced Design Space Reduction and Optimization For Analog Circuits, by Dimple Vijay Kochar et al.
Summary of Enhancing Thermal Mot: a Novel Box Association Method Leveraging Thermal Identity and Motion Similarity, by Wassim El Ahmar et al.
Summary of A Flexible Large Language Models Guardrail Development Methodology Applied to Off-topic Prompt Detection, by Gabriel Chua et al.
Summary of Attention-based Reconstruction Of Full-field Tsunami Waves From Sparse Tsunameter Networks, by Edward Mcdugald et al.
Summary of On Adaptivity and Minimax Optimality Of Two-sided Nearest Neighbors, by Tathagata Sadhukhan et al.
Summary of Uniflow: a Foundation Model For Unified Urban Spatio-temporal Flow Prediction, by Yuan Yuan et al.
Summary of Adaptive Process-guided Learning: An Application in Predicting Lake Do Concentrations, by Runlong Yu et al.
Summary of Training Bilingual Lms with Data Constraints in the Targeted Language, by Skyler Seto et al.
Summary of Betterbench: Assessing Ai Benchmarks, Uncovering Issues, and Establishing Best Practices, by Anka Reuel and Amelia Hardy and Chandler Smith and Max Lamparth and Malcolm Hardy and Mykel J. Kochenderfer
Summary of Eliminating Ratio Bias For Gradient-based Simulated Parameter Estimation, by Zehao Li and Yijie Peng
Summary of Pyawd: a Library For Generating Large Synthetic Datasets Of Acoustic Wave Propagation with Devito, by Pascal Tribel et al.
Summary of Exploring the Manifold Of Neural Networks Using Diffusion Geometry, by Elliott Abel et al.
Summary of Dlbacktrace: a Model Agnostic Explainability For Any Deep Learning Models, by Vinay Kumar Sankarapu et al.
Summary of Pom: Efficient Image and Video Generation with the Polynomial Mixer, by David Picard et al.
Summary of Auto-evaluation with Few Labels Through Post-hoc Regression, by Benjamin Eyre et al.
Summary of Machine Learning Approaches on Crop Pattern Recognition a Comparative Analysis, by Kazi Hasibul Kabir et al.
Summary of Iot-based 3d Pose Estimation and Motion Optimization For Athletes: Application Of C3d and Openpose, by Fei Ren et al.
Summary of Imuvie: Pickup Timeline Action Localization Via Motion Movies, by John Clapham et al.
Summary of Attribute Inference Attacks For Federated Regression Tasks, by Francesco Diana et al.
Summary of Rethinking Mushra: Addressing Modern Challenges in Text-to-speech Evaluation, by Praveen Srinivasa Varadhan et al.
Summary of Learning Multivariate Gaussians with Imperfect Advice, by Arnab Bhattacharyya et al.
Summary of Heuristic-free Multi-teacher Learning, by Huy Thong Nguyen et al.
Summary of Acing: Actor-critic For Instruction Learning in Black-box Large Language Models, by Salma Kharrat et al.
Summary of Crow: Eliminating Backdoors From Large Language Models Via Internal Consistency Regularization, by Nay Myat Min et al.
Summary of Off-policy Estimation with Adaptively Collected Data: the Power Of Online Learning, by Jeonghwan Lee et al.
Summary of Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models For Multivariate Healthcare Time Series, by Mingzhu Liu et al.
Summary of Data-to-model Distillation: Data-efficient Learning Framework, by Ahmad Sajedi et al.
Summary of Mdae : Modified Denoising Autoencoder For Missing Data Imputation, by Mariette Dupuy et al.
Summary of Reward Modeling with Ordinal Feedback: Wisdom Of the Crowd, by Shang Liu et al.
Summary of Integrating Secondary Structures Information Into Triangular Spatial Relationships (tsr) For Advanced Protein Classification, by Poorya Khajouie et al.
Summary of Graph As a Feature: Improving Node Classification with Non-neural Graph-aware Logistic Regression, by Simon Delarue et al.
Summary of Ultra-sparse Memory Network, by Zihao Huang et al.
Summary of Learning From Label Proportions and Covariate-shifted Instances, by Sagalpreet Singh et al.
Summary of Non-iid Data in Federated Learning: a Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions, by Daniel M. Jimenez G. et al.
Summary of Redpajama: An Open Dataset For Training Large Language Models, by Maurice Weber et al.
Summary of Comparing Prior and Learned Time Representations in Transformer Models Of Timeseries, by Natalia Koliou et al.
Summary of Empirical Privacy Evaluations Of Generative and Predictive Machine Learning Models — a Review and Challenges For Practice, by Flavio Hafner and Chang Sun
Summary of Regular-pattern-sensitive Crfs For Distant Label Interactions, by Sean Papay et al.
Summary of Enhancing Reasoning Capabilities Of Llms Via Principled Synthetic Logic Corpus, by Terufumi Morishita et al.
Summary of Transformer Neural Processes – Kernel Regression, by Daniel Jenson et al.
Summary of Data Pruning in Generative Diffusion Models, by Rania Briq et al.
Summary of Unlocking State-tracking in Linear Rnns Through Negative Eigenvalues, by Riccardo Grazzi et al.
Summary of Predicting Customer Satisfaction by Replicating the Survey Response Distribution, By Etienne Manderscheid and Matthias Lee
Summary of Umgad: Unsupervised Multiplex Graph Anomaly Detection, by Xiang Li et al.
Summary of Ultra: Unveiling Latent Token Interpretability in Transformer Based Understanding, by Hesam Hosseini et al.
Summary of Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models, by Laura Ruis et al.
Summary of Stream-based Active Learning For Process Monitoring, by Christian Capezza et al.
Summary of Debias Your Large Multi-modal Model at Test-time Via Non-contrastive Visual Attribute Steering, by Neale Ratzlaff et al.
Summary of Provable Unlearning in Topic Modeling and Downstream Tasks, by Stanley Wei et al.
Summary of A Multimodal Approach Combining Structural and Cross-domain Textual Guidance For Weakly Supervised Oct Segmentation, by Jiaqi Yang et al.
Summary of Exact Risk Curves Of Signsgd in High-dimensions: Quantifying Preconditioning and Noise-compression Effects, by Ke Liang Xiao et al.
Summary of Fine-grained Uncertainty Quantification Via Collisions, by Jesse Friedbaum et al.
Summary of A Computational Method For Measuring “open Codes” in Qualitative Analysis, by John Chen et al.
Summary of Visualizing Loss Functions As Topological Landscape Profiles, by Caleb Geniesse et al.
Summary of Sensor-fusion Based Prognostics Framework For Complex Engineering Systems Exhibiting Multiple Failure Modes, by Benjamin Peters et al.
Summary of Coarse-to-fine Q-network with Action Sequence For Data-efficient Robot Learning, by Younggyo Seo et al.
Summary of Urbandit: a Foundation Model For Open-world Urban Spatio-temporal Learning, by Yuan Yuan et al.
Summary of Skilltree: Explainable Skill-based Deep Reinforcement Learning For Long-horizon Control Tasks, by Yongyan Wen et al.
Summary of Just Kiddin: Knowledge Infusion and Distillation For Detection Of Indecent Memes, by Rahul Garg et al.
Summary of Diffusion-inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing, by Haiping Ma et al.
Summary of Constant Rate Schedule: Constant-rate Distributional Change For Efficient Training and Sampling in Diffusion Models, by Shuntaro Okada et al.
Summary of Detrigger: a Gradient-centric Approach to Backdoor Attack Mitigation in Federated Learning, by Kichang Lee et al.
Summary of Contrast Similarity-aware Dual-pathway Mamba For Multivariate Time Series Node Classification, by Mingsen Du et al.
Summary of Hyper-parameter Optimization For Federated Learning with Step-wise Adaptive Mechanism, by Yasaman Saadati and M. Hadi Amini
Summary of Predicting User Intents and Musical Attributes From Music Discovery Conversations, by Daeyong Kwon et al.
Summary of Restructuring Tractable Probabilistic Circuits, by Honghua Zhang et al.
Summary of A Review on Generative Ai Models For Synthetic Medical Text, Time Series, and Longitudinal Data, by Mohammad Loni et al.