Paper List

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Summary of Ordinary Differential Equations For Enhanced 12-lead Ecg Generation, by Yakir Yehuda et al.
Summary of Language Models As Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models, by Hui-po Wang et al.
Summary of Machine Learning-based Vs Deep Learning-based Anomaly Detection in Multivariate Time Series For Spacecraft Attitude Sensors, by R. Gallon et al.
Summary of Does Worst-performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed Sgd, by Jie Hu et al.
Summary of Sequential Kernelized Stein Discrepancy, by Diego Martinez-taboada et al.
Summary of Haloscope: Harnessing Unlabeled Llm Generations For Hallucination Detection, by Xuefeng Du et al.
Summary of Uni-med: a Unified Medical Generalist Foundation Model For Multi-task Learning Via Connector-moe, by Xun Zhu et al.
Summary of Functional Classification Of Spiking Signal Data Using Artificial Intelligence Techniques: a Review, by Danial Sharifrazi et al.
Summary of On the Implicit Relation Between Low-rank Adaptation and Differential Privacy, by Saber Malekmohammadi et al.
Summary of Dataset Distillation-based Hybrid Federated Learning on Non-iid Data, by Xiufang Shi et al.
Summary of Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings, by Konstantinos Pantazis et al.
Summary of Modulated Intervention Preference Optimization (mipo): Keep the Easy, Refine the Difficult, by Cheolhun Jang
Summary of A Simple but Strong Baseline For Sounding Video Generation: Effective Adaptation Of Audio and Video Diffusion Models For Joint Generation, by Masato Ishii and Akio Hayakawa and Takashi Shibuya and Yuki Mitsufuji
Summary of Pixel-space Post-training Of Latent Diffusion Models, by Christina Zhang et al.
Summary of Advancing Open-set Domain Generalization Using Evidential Bi-level Hardest Domain Scheduler, by Kunyu Peng et al.
Summary of Derandomizing Multi-distribution Learning, by Kasper Green Larsen et al.
Summary of Multiplicative Logit Adjustment Approximates Neural-collapse-aware Decision Boundary Adjustment, by Naoya Hasegawa et al.
Summary of Conjugate Bayesian Two-step Change Point Detection For Hawkes Process, by Zeyue Zhang et al.
Summary of Deep Manifold Part 1: Anatomy Of Neural Network Manifold, by Max Y. Ma and Gen-hua Shi
Summary of Multimodal Banking Dataset: Understanding Client Needs Through Event Sequences, by Mollaev Dzhambulat et al.
Summary of Rmgpt: Rotating Machinery Generative Pretrained Model, by Yilin Wang et al.
Summary of Good Data Is All Imitation Learning Needs, by Amir Samadi et al.
Summary of Diversity-driven Synthesis: Enhancing Dataset Distillation Through Directed Weight Adjustment, by Jiawei Du et al.
Summary of Learning Utilities From Demonstrations in Markov Decision Processes, by Filippo Lazzati et al.
Summary of Data-efficient Trajectory Prediction Via Coreset Selection, by Ruining Yang and Lili Su
Summary of Implicit Neural Representations For Simultaneous Reduction and Continuous Reconstruction Of Multi-altitude Climate Data, by Alif Bin Abdul Qayyum et al.
Summary of Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning, by Zhixiang Shen et al.
Summary of Trading Through Earnings Seasons Using Self-supervised Contrastive Representation Learning, by Zhengxin Joseph Ye and Bjoern Schuller
Summary of Severity Prediction in Mental Health: Llm-based Creation, Analysis, Evaluation Of a Novel Multilingual Dataset, by Konstantinos Skianis et al.
Summary of Zeroth-order Policy Gradient For Reinforcement Learning From Human Feedback Without Reward Inference, by Qining Zhang et al.
Summary of Ai Enabled Neutron Flux Measurement and Virtual Calibration in Boiling Water Reactors, by Anirudh Tunga et al.
Summary of Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment, by Athar Mahmoudi-nejad et al.
Summary of Stress Detection From Photoplethysmography in a Virtual Reality Environment, by Athar Mahmoudi-nejad et al.
Summary of Navigating the Shortcut Maze: a Comprehensive Analysis Of Shortcut Learning in Text Classification by Language Models, By Yuqing Zhou et al.
Summary of Rejection Sampling Imle: Designing Priors For Better Few-shot Image Synthesis, by Chirag Vashist et al.
Summary of Discovering the Gems in Early Layers: Accelerating Long-context Llms with 1000x Input Token Reduction, by Zhenmei Shi et al.
Summary of Adjusting Regression Models For Conditional Uncertainty Calibration, by Ruijiang Gao et al.
Summary of Reducing and Exploiting Data Augmentation Noise Through Meta Reweighting Contrastive Learning For Text Classification, by Guanyi Mou et al.
Summary of On the Impact Of Feature Heterophily on Link Prediction with Graph Neural Networks, by Jiong Zhu et al.
Summary of Maskllm: Learnable Semi-structured Sparsity For Large Language Models, by Gongfan Fang et al.
Summary of Heterogeneous Hyper-graph Neural Networks For Context-aware Human Activity Recognition, by Wen Ge et al.
Summary of Mathdsl: a Domain-specific Language For Concise Mathematical Solutions Via Program Synthesis, by Sagnik Anupam et al.
Summary of Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond, by Yusuke Matsui and Tatsuya Yokota
Summary of Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer, by Benji Peng et al.
Summary of Pace: Marrying Generalization in Parameter-efficient Fine-tuning with Consistency Regularization, by Yao Ni et al.
Summary of Finezip : Pushing the Limits Of Large Language Models For Practical Lossless Text Compression, by Fazal Mittu et al.
Summary of Dreamwaltz-g: Expressive 3d Gaussian Avatars From Skeleton-guided 2d Diffusion, by Yukun Huang et al.
Summary of Molmo and Pixmo: Open Weights and Open Data For State-of-the-art Vision-language Models, by Matt Deitke et al.
Summary of Fully Automatic Extraction Of Morphological Traits From the Web: Utopia or Reality?, by Diego Marcos et al.
Summary of Cross Dataset Analysis and Network Architecture Repair For Autonomous Car Lane Detection, by Parth Ganeriwala et al.
Summary of An Effective, Robust and Fairness-aware Hate Speech Detection Framework, by Guanyi Mou et al.
Summary of First Place Solution to the Eccv 2024 Bravo Challenge: Evaluating Robustness Of Vision Foundation Models For Semantic Segmentation, by Tommie Kerssies et al.
Summary of Mnemosyne: Parallelization Strategies For Efficiently Serving Multi-million Context Length Llm Inference Requests Without Approximations, by Amey Agrawal et al.
Summary of A Random Measure Approach to Reinforcement Learning in Continuous Time, by Christian Bender and Nguyen Tran Thuan
Summary of Codonmpnn For Organism Specific and Codon Optimal Inverse Folding, by Hannes Stark et al.
Summary of Proof Of Thought : Neurosymbolic Program Synthesis Allows Robust and Interpretable Reasoning, by Debargha Ganguly et al.
Summary of Memory Networks: Towards Fully Biologically Plausible Learning, by Jacobo Ruiz et al.
Summary of Neural Network Plasticity and Loss Sharpness, by Max Koster and Jude Kukla
Summary of Consistent Estimation Of Generative Model Representations in the Data Kernel Perspective Space, by Aranyak Acharyya and Michael W. Trosset and Carey E. Priebe and Hayden S. Helm
Summary of Babyllama-2: Ensemble-distilled Models Consistently Outperform Teachers with Limited Data, by Jean-loup Tastet et al.
Summary of Kipps: Knowledge Infusion in Privacy Preserving Synthetic Data Generation, by Anantaa Kotal and Anupam Joshi
Summary of Revisiting Inverse Hessian Vector Products For Calculating Influence Functions, by Yegor Klochkov and Yang Liu
Summary of Non-asymptotic Convergence Of Training Transformers For Next-token Prediction, by Ruiquan Huang et al.
Summary of Abcfair: An Adaptable Benchmark Approach For Comparing Fairness Methods, by Marybeth Defrance et al.
Summary of Decomposition Of Equivariant Maps Via Invariant Maps: Application to Universal Approximation Under Symmetry, by Akiyoshi Sannai et al.
Summary of Informed Deep Hierarchical Classification: a Non-standard Analysis Inspired Approach, by Lorenzo Fiaschi and Marco Cococcioni
Summary of Bridge to Real Environment with Hardware-in-the-loop For Wireless Artificial Intelligence Paradigms, by Jeffrey Redondo et al.
Summary of Adaptive Self-supervised Learning Strategies For Dynamic On-device Llm Personalization, by Rafael Mendoza et al.
Summary of What Is the Relation Between Slow Feature Analysis and the Successor Representation?, by Eddie Seabrook and Laurenz Wiskott
Summary of Int-flashattention: Enabling Flash Attention For Int8 Quantization, by Shimao Chen et al.
Summary of Cnn Mixture-of-depths, by Rinor Cakaj et al.
Summary of Combu: a Combined Unit Activation For Fitting Mathematical Expressions with Neural Networks, by Jiayu Li et al.
Summary of Counterfactual Token Generation in Large Language Models, by Ivi Chatzi et al.
Summary of Drim: Learning Disentangled Representations From Incomplete Multimodal Healthcare Data, by Lucas Robinet et al.
Summary of Predictive Covert Communication Against Multi-uav Surveillance Using Graph Koopman Autoencoder, by Sivaram Krishnan et al.
Summary of How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not, by Francesco Verdini et al.
Summary of Benchmarking Domain Generalization Algorithms in Computational Pathology, by Neda Zamanitajeddin et al.
Summary of Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming, by Ved Prakash et al.
Summary of Accumulator-aware Post-training Quantization, by Ian Colbert et al.
Summary of Locally Regularized Sparse Graph by Fast Proximal Gradient Descent, By Dongfang Sun et al.
Summary of Ctrl-genaug: Controllable Generative Augmentation For Medical Sequence Classification, by Xinrui Zhou et al.
Summary of Characterizing Stable Regions in the Residual Stream Of Llms, by Jett Janiak et al.
Summary of Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale, by Fan Zhou et al.
Summary of Numerical Approximation Capacity Of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can They Be Measured?, by Li Liu et al.
Summary of Vision-language Model Fine-tuning Via Simple Parameter-efficient Modification, by Ming Li et al.
Summary of Verified Relative Safety Margins For Neural Network Twins, by Anahita Baninajjar et al.
Summary of Gb-rvfl: Fusion Of Randomized Neural Network and Granular Ball Computing, by M. Sajid et al.
Summary of Offline and Distributional Reinforcement Learning For Radio Resource Management, by Eslam Eldeeb and Hirley Alves
Summary of Exploring Information-theoretic Metrics Associated with Neural Collapse in Supervised Training, by Kun Song et al.
Summary of Enhancing Feature Selection and Interpretability in Ai Regression Tasks Through Feature Attribution, by Alexander Hinterleitner et al.
Summary of Scalable Ensemble Diversification For Ood Generalization and Detection, by Alexander Rubinstein et al.
Summary of Symbolic State Partitioning For Reinforcement Learning, by Mohsen Ghaffari et al.
Summary of Super Level Sets and Exponential Decay: a Synergistic Approach to Stable Neural Network Training, by Jatin Chaudhary et al.
Summary of Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024, by Ujjawal Sharma et al.
Summary of Accelerating Tinyml Inference on Microcontrollers Through Approximate Kernels, by Giorgos Armeniakos et al.
Summary of A Parametric Framework For Kernel-based Dynamic Mode Decomposition Using Deep Learning, by Konstantinos Kevopoulos et al.
Summary of Uncertainty Representations in State-space Layers For Deep Reinforcement Learning Under Partial Observability, by Carlos E. Luis et al.
Summary of Asynchronous Fractional Multi-agent Deep Reinforcement Learning For Age-minimal Mobile Edge Computing, by Lyudong Jin et al.
Summary of Demo2vec: Learning Region Embedding with Demographic Information, by Ya Wen et al.
Summary of Ethical and Scalable Automation: a Governance and Compliance Framework For Business Applications, by Haocheng Lin