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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)

Domain Specific Sub-network for Multi-Domain Neural Machine Translation AACL 2022 Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue EMNLP 2022 Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling COLING 2022 Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models EMNLP 2022 Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search EMNLP 2022 Don’t Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models EMNLP 2022 Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022 Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches CVPR 2022 DORE: Document Ordered Relation Extraction based on Generative Framework EMNLP 2022 Do self-supervised speech models develop human-like perception biases? ACL 2022 Do Trajectories Encode Verb Meaning? NAACL 2022 Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity NeurIPS 2022 Double-Check Soft Teacher for Semi-Supervised Object Detection IJCAI 2022 Double Sampling Randomized Smoothing ICML 2022 Double Trouble: How to not Explain a Text Classifier’s Decisions Using Counterfactuals Synthesized by Masked Language Models? AACL 2022 Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies? EMNLP 2022 DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection AAAI 2022 Drawing out of Distribution with Neuro-Symbolic Generative Models NeurIPS 2022 DreamShard: Generalizable Embedding Table Placement for Recommender Systems NeurIPS 2022 DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction COLING 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 Dropout Q-Functions for Doubly Efficient Reinforcement Learning ICLR 2022 DST: Dynamic Substitute Training for Data-Free Black-Box Attack CVPR 2022 DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog ACL 2022 DTA: Physical Camouflage Attacks Using Differentiable Transformation Network CVPR 2022