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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
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'25

Papers (including subtopics)

Categorical Normalizing Flows via Continuous Transformations ICLR 2021 Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection AAAI 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 CDLM: Cross-Document Language Modeling EMNLP 2021 Center-Based 3D Object Detection and Tracking CVPR 2021 Certified Robustness to Programmable Transformations in LSTMs EMNLP 2021 CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching CVPR 2021 *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021 CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation CVPR 2021 Challenging the Semi-Supervised VAE Framework for Text Classification EMNLP 2021 Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset ACL 2021 Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages EMNLP 2021 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Characterizing the Evasion Attackability of Multi-label Classifiers AAAI 2021 Character Transformations for Non-Autoregressive GEC Tagging EMNLP 2021 Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL ACL 2021 Check It Again:Progressive Visual Question Answering via Visual Entailment ACL 2021 CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval AAAI 2021 Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract) AAAI 2021 Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study EMNLP 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection ICML 2021 Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning AAAI 2021 Claim Matching Beyond English to Scale Global Fact-Checking ACL 2021 Class-Attentive Diffusion Network for Semi-Supervised Classification AAAI 2021