sequential learning

Kalman Bayesian Neural Networks for Closed-Form Online Learning AAAI 2023 Learning to Decouple Complex Systems ICML 2023 Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023 Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research JMLR 2023 On the Convergence of Continual Learning with Adaptive Methods UAI 2023 Sequential Learning of Neural Networks for Prequential MDL ICLR 2023 Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks ICCV 2023 Adaptive Data Debiasing through Bounded Exploration NeurIPS 2022 Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes CVPR 2022 Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions NeurIPS 2022 Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes NeurIPS 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning AAAI 2022 UECA-Prompt: Universal Prompt for Emotion Cause Analysis COLING 2022 Anticipative Video Transformer ICCV 2021 Continuous-Time Attention for Sequential Learning AAAI 2021 Fast Rate Learning in Stochastic First Price Bidding ACML 2021 Memory Efficient Online Meta Learning ICML 2021 Memory-Gated Recurrent Networks AAAI 2021 Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021 Towards Lifelong Learning of End-to-End ASR Interspeech 2021 Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment AAAI 2020 Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data AAAI 2020 k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes IJCAI 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020