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

'25

Papers (including subtopics)

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation AAAI 2022 Deep Neural Representations for Multiword Expressions Detection ACL 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022 DeepParliament: A Legal domain Benchmark & Dataset for Parliament Bills Prediction EMNLP 2022 Deep Probability Estimation ICML 2022 DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions AAAI 2022 Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022 Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract) AAAI 2022 Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase CVPR 2022 Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches Interspeech 2022 Deep speaker embedding with frame-constrained training strategy for speaker verification Interspeech 2022 DeepStruct: Pretraining of Language Models for Structure Prediction ACL 2022 Deep Surrogate Assisted Generation of Environments NeurIPS 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer AAAI 2022 DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions AAAI 2022 Deep Unsupervised Hashing with Latent Semantic Components AAAI 2022 Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models Interspeech 2022 DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints CVPR 2022 Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision AAAI 2022 Defensive Patches for Robust Recognition in the Physical World CVPR 2022 Deformable Part Region Learning for Object Detection AAAI 2022 Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes CVPR 2022 Deformable Sprites for Unsupervised Video Decomposition CVPR 2022 Deformable Video Transformer CVPR 2022