sequential learning

1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains COLING 2025 Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025 Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP AAAI 2025 Logarithmic Regret for Nonlinear Control L4DC 2025 Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding CVPR 2025 SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models EMNLP 2025 Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models ICML 2025 Understanding Factual Recall in Transformers via Associative Memories ICLR 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting AAAI 2025 A Sequential Learning-Based Approach for Monocular Human Performance Capture WACV 2024 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models EMNLP 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024 A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks AAAI 2023 CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023 Encoding Recurrence into Transformers ICLR 2023 Event-based Temporally Dense Optical Flow Estimation with Sequential Learning ICCV 2023 Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation EMNLP 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023