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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)

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images CVPR 2024 Common Event Tethering to Improve Prediction of Rare Clinical Events UAI 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Commonsense for Zero-Shot Natural Language Video Localization AAAI 2024 Commonsense Knowledge Editing Based on Free-Text in LLMs EMNLP 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Community-Invariant Graph Contrastive Learning ICML 2024 CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024 Compact Language Models via Pruning and Knowledge Distillation NeurIPS 2024 Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems ACL 2024 Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024 Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction CVPR 2024 Complexity Matters: Feature Learning in the Presence of Spurious Correlations ICML 2024 Complex Organ Mask Guided Radiology Report Generation WACV 2024 Composite Diffusion: whole >= Sparts WACV 2024 Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions AAAI 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Compositional Inversion for Stable Diffusion Models AAAI 2024 Compositional Video Understanding with Spatiotemporal Structure-based Transformers CVPR 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024 Comprehensive View Embedding Learning for Single-Cell Multimodal Integration AAAI 2024 Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach ICML 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Computational Analysis of Dehumanization of Ukrainians on Russian Social Media EACL 2024