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

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021 Adaptive Curriculum Learning ICCV 2021 Adaptive Denoising via GainTuning NeurIPS 2021 Adaptive Diffusion in Graph Neural Networks NeurIPS 2021 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Adaptive Focus for Efficient Video Recognition ICCV 2021 Adaptive Fusion Techniques for Multimodal Data EACL 2021 Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021 Adaptive Nearest Neighbor Machine Translation ACL 2021 Adaptive Procedural Task Generation for Hard-Exploration Problems ICLR 2021 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks NeurIPS 2021 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021 Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation AAAI 2021 AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching CVPR 2021 A Dataset and Baselines for Multilingual Reply Suggestion ACL 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation AAAI 2021 A Decomposition Model for Stereo Matching CVPR 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation Interspeech 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021 A Deterministic Neural Network Approach to Playing Gin Rummy AAAI 2021