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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)

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024 Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024 Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation CVPR 2024 Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA EMNLP 2024 LEDITS++: Limitless Image Editing using Text-to-Image Models CVPR 2024 LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024 Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation ACL 2024 Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding EMNLP 2024 LEOD: Label-Efficient Object Detection for Event Cameras CVPR 2024 Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA EMNLP 2024 Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning EMNLP 2024 Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval AAAI 2024 Let Go of Your Labels with Unsupervised Transfer ICML 2024 Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction CoRL 2024 Let's do the time-warp-attend: Learning topological invariants of dynamical systems ICLR 2024 Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification WACV 2024 Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement WACV 2024 Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NeurIPS 2024 Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification CVPR 2024 Leveraging Graph Structures to Detect Hallucinations in Large Language Models ACL 2024 Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection AAAI 2024 Leveraging Linguistically Enhanced Embeddings for Open Information Extraction COLING 2024 Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English ACL 2024 Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions EMNLP 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024