Skip to content
conftrace_

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)

Comparing Self-Supervised Pre-Training and Semi-Supervised Training for Speech Recognition in Languages with Weak Language Models Interspeech 2023 Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think Interspeech 2023 Competitive Physics Informed Networks ICLR 2023 Complementary Explanations for Effective In-Context Learning ACL 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning CVPR 2023 CompletionFormer: Depth Completion With Convolutions and Vision Transformers CVPR 2023 Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition AAAI 2023 Complexity-Based Prompting for Multi-step Reasoning ICLR 2023 Complexity-Guided Curriculum Learning for Text Graphs EMNLP 2023 Composing Ensembles of Pre-trained Models via Iterative Consensus ICLR 2023 Composite Learning for Robust and Effective Dense Predictions WACV 2023 Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions ICLR 2023 Compositional Generalization without Trees using Multiset Tagging and Latent Permutations ACL 2023 Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection ICLR 2023 Compositional Prototypical Networks for Few-Shot Classification AAAI 2023 Composition-contrastive Learning for Sentence Embeddings ACL 2023 Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation CVPR 2023 CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models EMNLP 2023 Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization AAAI 2023 Compressed MoE ASR Model Based on Knowledge Distillation and Quantization Interspeech 2023 Compressed Video Prompt Tuning NeurIPS 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Compression-Aware Video Super-Resolution CVPR 2023 Computational Asymmetries in Robust Classification ICML 2023