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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)

Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models Interspeech 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023 rematchka at ArAIEval Shared Task: Prefix-Tuning & Prompt-tuning for Improved Detection of Propaganda and Disinformation in Arabic Social Media Content EMNLP 2023 rematchka at NADI 2023 shared task: Parameter Efficient tuning for Dialect Identification and Dialect Machine Translation EMNLP 2023 RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer AAAI 2023 Rephrasing the Reference for Non-autoregressive Machine Translation AAAI 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation EMNLP 2023 RePreM: Representation Pre-training with Masked Model for Reinforcement Learning AAAI 2023 Representation-Driven Reinforcement Learning ICML 2023 Representation Learning by Detecting Incorrect Location Embeddings AAAI 2023 Representation Learning for Visual Object Tracking by Masked Appearance Transfer CVPR 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Representation Learning via Consistent Assignment of Views over Random Partitions NeurIPS 2023 Representation Projection Invariance Mitigates Representation Collapse EMNLP 2023 Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation EMNLP 2023 Reprogramming Pretrained Language Models for Antibody Sequence Infilling ICML 2023 RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL AAAI 2023 Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging CVPR 2023 Residual Prompt Tuning: improving prompt tuning with residual reparameterization ACL 2023 Resolving Indirect Referring Expressions for Entity Selection ACL 2023 Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning AAAI 2023 Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator CVPR 2023 Retaining Beneficial Information from Detrimental Data for Neural Network Repair NeurIPS 2023 Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation AAAI 2023