Deep Learning

Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction ECCV 2024 Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network ECCV 2024 Learned Representation-Guided Diffusion Models for Large-Image Generation CVPR 2024 Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024 LearnerVoice: A Dataset of Non-Native English Learners’ Spontaneous Speech Interspeech 2024 Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving ACL 2024 Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting AAAI 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Learning 3D Garment Animation from Trajectories of A Piece of Cloth NeurIPS 2024 Learning 3D Particle-based Simulators from RGB-D Videos ICLR 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking ICML 2024 Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network ICLR 2024 Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation CVPR 2024 Learning a Diffusion Model Policy from Rewards via Q-Score Matching ICML 2024 Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers AISTATS 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NeurIPS 2024 Learning and Transferring Sparse Contextual Bigrams with Linear Transformers NeurIPS 2024 Learning a Spiking Neural Network for Efficient Image Deraining IJCAI 2024 Learning Associative Memories with Gradient Descent ICML 2024 Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification WACV 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning Bregman Divergences with Application to Robustness NeurIPS 2024 Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning CVPR 2024 Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection AAAI 2024