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

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Papers (including subtopics)

Adaptive Transfer Network for Cross-Domain Person Re-Identification CVPR 2019 Adaptive truncated residual regression for fine-grained regression problems ACML 2019 A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing CVPR 2019 Additive Compositionality of Word Vectors EMNLP 2019 Addressing Failure Prediction by Learning Model Confidence NeurIPS 2019 Addressing the Under-Translation Problem from the Entropy Perspective AAAI 2019 A deep-learning framework to detect sarcasm targets EMNLP 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System AAAI 2019 A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues AAAI 2019 A Discrete CVAE for Response Generation on Short-Text Conversation EMNLP 2019 A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019 A Discriminative Neural Model for Cross-Lingual Word Alignment EMNLP 2019 A Divergence Minimization Perspective on Imitation Learning Methods CoRL 2019 A Dual Attention Network with Semantic Embedding for Few-Shot Learning AAAI 2019 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019 Adversarial Attack on Sentiment Classification ACL 2019 Adversarial Attacks Beyond the Image Space CVPR 2019 Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019 Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation ACL 2019 Adversarial Dropout for Recurrent Neural Networks AAAI 2019 Adversarial Examples Are Not Bugs, They Are Features NeurIPS 2019