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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Efficient Continual Pre-training for Building Domain Specific Large Language Models ACL 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024 Efficient Dynamics Modeling in Interactive Environments with Koopman Theory ICLR 2024 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval ACL 2024 Efficient Knowledge Infusion via KG-LLM Alignment ACL 2024 Efficient Large Multi-modal Models via Visual Context Compression NeurIPS 2024 Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update ECCV 2024 Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning ACL 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation EMNLP 2024 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024 Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024 EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything CVPR 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024 Efficient Stitchable Task Adaptation CVPR 2024 Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge EMNLP 2024 Efficient Test-Time Adaptation of Vision-Language Models CVPR 2024 Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models EMNLP 2024 Efficient Vision-Language Pre-training by Cluster Masking CVPR 2024 Efficient Vision-Language pre-training via domain-specific learning for human activities EMNLP 2024 EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024