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

'25

Papers (including subtopics)

DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech Recognition Interspeech 2022 DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce ACL 2022 Degradation-Agnostic Correspondence From Resolution-Asymmetric Stereo CVPR 2022 Delayed Reinforcement Learning by Imitation ICML 2022 Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation NeurIPS 2022 DelightfulTTS 2: End-to-End Speech Synthesis with Adversarial Vector-Quantized Auto-Encoders Interspeech 2022 Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique AACL 2022 Demystifying the Adversarial Robustness of Random Transformation Defenses ICML 2022 Denoised Maximum Classiﬁer Discrepancy for Source-Free Unsupervised Domain Adaptation AAAI 2022 Denoising Likelihood Score Matching for Conditional Score-based Data Generation ICLR 2022 DENSE: Data-Free One-Shot Federated Learning NeurIPS 2022 Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification EMNLP 2022 Dense Interspecies Face Embedding NeurIPS 2022 Dense Learning Based Semi-Supervised Object Detection CVPR 2022 Densely-Packed Object Detection via Hard Negative-Aware Anchor Attention WACV 2022 Dependency Parsing via Sequence Generation EMNLP 2022 Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data AAAI 2022 Deploying a Retrieval based Response Model for Task Oriented Dialogues EMNLP 2022 Deploying Unified BERT Moderation Model for E-Commerce Reviews EMNLP 2022 Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022 Depth-Aware Generative Adversarial Network for Talking Head Video Generation CVPR 2022 Depth-Supervised NeRF: Fewer Views and Faster Training for Free CVPR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022