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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)

Augmenting Generative Adversarial Networks for Speech Emotion Recognition Interspeech 2020 Augmenting Neural Metaphor Detection with Concreteness ACL 2020 Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020 A U-Net Based Discriminator for Generative Adversarial Networks CVPR 2020 A Unified Object Motion and Affinity Model for Online Multi-Object Tracking CVPR 2020 AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20 EMNLP 2020 Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 Auto-Encoding Twin-Bottleneck Hashing CVPR 2020 AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding EMNLP 2020 Automated curriculum generation through setter-solver interactions ICLR 2020 Automated Scoring of Clinical Expressive Language Evaluation Tasks ACL 2020 Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NeurIPS 2020 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract) AAAI 2020 AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP 2020 Autoregressive Score Matching NeurIPS 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 AViD Dataset: Anonymized Videos from Diverse Countries NeurIPS 2020 Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020 AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation AAAI 2020 BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020 BachGAN: High-Resolution Image Synthesis From Salient Object Layout CVPR 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples NeurIPS 2020 Back to the Future – Temporal Adaptation of Text Representations AAAI 2020 Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation AAAI 2020