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

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Papers (including subtopics)

Distributional Robustness Loss for Long-Tail Learning ICCV 2021 DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization ICCV 2021 DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network CVPR 2021 Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition CVPR 2021 Divergence Optimization for Noisy Universal Domain Adaptation CVPR 2021 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021 Diverse Knowledge Distillation for End-to-End Person Search AAAI 2021 Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021 Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction CVPR 2021 DocParser: Hierarchical Document Structure Parsing from Renderings AAAI 2021 Does My Representation Capture X? Probe-Ably ACL 2021 Does Pretraining for Summarization Require Knowledge Transfer? EMNLP 2021 Does Social Pressure Drive Persuasion in Online Fora? EMNLP 2021 Does Vision-and-Language Pretraining Improve Lexical Grounding? EMNLP 2021 Do Language Models Know the Way to Rome? EMNLP 2021 Do Long-Range Language Models Actually Use Long-Range Context? EMNLP 2021 Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation AAAI 2021 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021 Domain Adaptive YOLO for One-Stage Cross-Domain Detection ACML 2021 Domain Consensus Clustering for Universal Domain Adaptation CVPR 2021 Domain General Face Forgery Detection by Learning to Weight AAAI 2021 Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract) AAAI 2021 Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels CVPR 2021 DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning EMNLP 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021