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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)

Balaur: Language Model Pretraining with Lexical Semantic Relations EMNLP 2023 Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NeurIPS 2023 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR Interspeech 2023 Batch Model Consolidation: A Multi-Task Model Consolidation Framework CVPR 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks NeurIPS 2023 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023 BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS ICLR 2023 BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks NeurIPS 2023 BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion CVPR 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion ICLR 2023 Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023 Behavior Proximal Policy Optimization ICLR 2023 BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction ICCV 2023 BEmoLexBERT: A Hybrid Model for Multilabel Textual Emotion Classification in Bangla by Combining Transformers with Lexicon Features EMNLP 2023 Benchmarking Large Language Model Capabilities for Conditional Generation ACL 2023 Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NeurIPS 2023 Benchmarking Robustness to Adversarial Image Obfuscations NeurIPS 2023 Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models EMNLP 2023 Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023 BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval ACL 2023 BERT Has More to Offer: BERT Layers Combination Yields Better Sentence Embeddings EMNLP 2023 BERTwich: Extending BERT’s Capabilities to Model Dialectal and Noisy Text EMNLP 2023 BEST: BERT Pre-training for Sign Language Recognition with Coupling Tokenization AAAI 2023