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)

Decoupling Representation Learning from Reinforcement Learning ICML 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras AAAI 2021 Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition CVPR 2021 Deep Animation Video Interpolation in the Wild CVPR 2021 Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks NeurIPS 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 DeepBlueAI at TextGraphs 2021 Shared Task: Treating Multi-Hop Inference Explanation Regeneration as A Ranking Problem NAACL 2021 Deep Burst Super-Resolution CVPR 2021 Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis ACL 2021 Deep Convolutional Dictionary Learning for Image Denoising CVPR 2021 DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021 Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems AAAI 2021 Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation ICLR 2021 Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning AAAI 2021 Deep Extended Hazard Models for Survival Analysis NeurIPS 2021 Deep Extrapolation for Attribute-Enhanced Generation NeurIPS 2021 Deep Feature CycleGANs: Speaker Identity Preserving Non-Parallel Microphone-Telephone Domain Adaptation for Speaker Verification Interspeech 2021 Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster AAAI 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Deep Gradient Projection Networks for Pan-sharpening CVPR 2021 Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021 Deep Homography for Efficient Stereo Image Compression CVPR 2021 Deep Hough Voting for Robust Global Registration ICCV 2021 Deep Hybrid Self-Prior for Full 3D Mesh Generation ICCV 2021