Application Areas

Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection CVPR 2024 Learning Better Representations From Less Data For Propositional Satisfiability NeurIPS 2024 Learning Bregman Divergences with Application to Robustness NeurIPS 2024 Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition ICML 2024 Learning Causal Dynamics Models in Object-Oriented Environments ICML 2024 Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization WACV 2024 Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation CVPR 2024 Learning Conditional Invariances through Non-Commutativity ICLR 2024 Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation AAAI 2024 Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification CVPR 2024 Learning Cross-Architecture Instruction Embeddings for Binary Code Analysis in Low-Resource Architectures NAACL 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning De-Biased Representations for Remote-Sensing Imagery NeurIPS 2024 Learning Degradation-Independent Representations for Camera ISP Pipelines CVPR 2024 Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration CVPR 2024 Learning Differentiable Tensegrity Dynamics using Graph Neural Networks CoRL 2024 Learning Divergence Fields for Shift-Robust Graph Representations ICML 2024 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data AAAI 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning Interspeech 2024 Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation NeurIPS 2024 Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions ICLR 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Multiple Annotator Biased Labels in Multimodal Conversation Interspeech 2024