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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt ACL 2023 Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023 Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention WACV 2023 Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon ACL 2023 Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP 2023 Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation EMNLP 2023 FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning ACL 2023 Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML 2023 Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans ACL 2023 FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations NeurIPS 2023 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training CVPR 2023 Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation ICLR 2023 Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression AAAI 2023 Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NeurIPS 2023 Finding Support Examples for In-Context Learning EMNLP 2023 Finding words that aren’t there: Using word embeddings to improve dictionary search for low-resource languages ACL 2023 Fine-Grained Audible Video Description CVPR 2023 Fine-Grained Classification With Noisy Labels CVPR 2023 Fine-grained Conversational Decoding via Isotropic and Proximal Search EMNLP 2023 Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network CVPR 2023 Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion AAAI 2023 Fine-Grained Retrieval Prompt Tuning AAAI 2023 Fine-grained Text Style Transfer with Diffusion-Based Language Models ACL 2023 Fine-grained Visible Watermark Removal ICCV 2023