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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'20

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Papers (including subtopics)

Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 EMNLP 2020 A Dictionary Approach to Domain-Invariant Learning in Deep Networks NeurIPS 2020 A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences Interspeech 2020 ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020 A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NeurIPS 2020 A Disentangling Invertible Interpretation Network for Explaining Latent Representations CVPR 2020 Adobe AMPS’s Submission for Very Low Resource Supervised Translation Task at WMT20 EMNLP 2020 A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events EMNLP 2020 Advancing High Fidelity Identity Swapping for Forgery Detection CVPR 2020 Advancing Seq2seq with Joint Paraphrase Learning EMNLP 2020 Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text ACL 2020 Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ACL 2020 Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020 Adversarial Cross-Domain Action Recognition with Co-Attention AAAI 2020 Adversarial Deep Network Embedding for Cross-Network Node Classification AAAI 2020 Adversarial Dictionary Learning for Monaural Speech Enhancement Interspeech 2020 Adversarial Disentanglement with Grouped Observations AAAI 2020 Adversarial Domain Adaptation with Domain Mixup AAAI 2020 Adversarial Examples for Edge Detection: They Exist, and they Transfer WACV 2020 Adversarial Examples Improve Image Recognition CVPR 2020 Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020 Adversarial Latent Autoencoders CVPR 2020 Adversarial Latent Representation Learning for Speech Enhancement Interspeech 2020 Adversarial-Learned Loss for Domain Adaptation AAAI 2020 Adversarial Learning for Robust Deep Clustering NeurIPS 2020