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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)

AUTOSUMM: Automatic Model Creation for Text Summarization EMNLP 2021 Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction ACL 2021 “Average” Approximates “First Principal Component”? An Empirical Analysis on Representations from Neural Language Models EMNLP 2021 AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain EMNLP 2021 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 Avoiding Overlap in Data Augmentation for AMR-to-Text Generation ACL 2021 A Web Scale Entity Extraction System EMNLP 2021 A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization ICML 2021 BABEL: Bodies, Action and Behavior With English Labels CVPR 2021 Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021 Backdoor Attack with Imperceptible Input and Latent Modification NeurIPS 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation CVPR 2021 Background Splitting: Finding Rare Classes in a Sea of Background CVPR 2021 Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy CVPR 2021 Back to the Feature: Learning Robust Camera Localization From Pixels To Pose CVPR 2021 Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval EMNLP 2021 Back-translation for Large-Scale Multilingual Machine Translation EMNLP 2021 Backtranslation in Neural Morphological Inflection EMNLP 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks AAAI 2021 Balanced Open Set Domain Adaptation via Centroid Alignment AAAI 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction ICML 2021 BARThez: a Skilled Pretrained French Sequence-to-Sequence Model EMNLP 2021 BARTScore: Evaluating Generated Text as Text Generation NeurIPS 2021 Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition Interspeech 2021