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

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Papers (including subtopics)

Effectively pretraining a speech translation decoder with Machine Translation data EMNLP 2020 Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Efficient and High-Quality Neural Machine Translation with OpenNMT ACL 2020 Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking EMNLP 2020 Efficient Deployment of Conversational Natural Language Interfaces over Databases ACL 2020 Efficient Dialogue State Tracking by Selectively Overwriting Memory ACL 2020 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition ICML 2020 Efficient Estimation of Influence of a Training Instance EMNLP 2020 Efficient Facial Feature Learning with Wide Ensemble-Based Convolutional Neural Networks AAAI 2020 Efficient Generation of Structured Objects with Constrained Adversarial Networks NeurIPS 2020 Efficient Intent Detection with Dual Sentence Encoders ACL 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages ACL 2020 Efficient One-Pass End-to-End Entity Linking for Questions EMNLP 2020 Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020 Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020 Efficient Strategies for Hierarchical Text Classification: External Knowledge and Auxiliary Tasks ACL 2020 EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement AAAI 2020 Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory AAAI 2020 Embarrassingly Simple Unsupervised Aspect Extraction ACL 2020 Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning CVPR 2020 Embedding Structured Dictionary Entries EMNLP 2020 Emergence of Writing Systems through Multi-Agent Cooperation (Student Abstract) AAAI 2020 Emerging Cross-lingual Structure in Pretrained Language Models ACL 2020