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)

Learning Nearest Neighbour Informed Latent Word Embeddings to Improve Zero-Shot Machine Translation ACL 2023 Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors NeurIPS 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild CVPR 2023 Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback ACL 2023 Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency ACL 2023 Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection CVPR 2023 Learning Optimal Features via Partial Invariance AAAI 2023 Learning Optimal Policy for Simultaneous Machine Translation via Binary Search ACL 2023 Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing AAAI 2023 Learning Progressive Modality-Shared Transformers for Effective Visible-Infrared Person Re-identification AAAI 2023 Learning Rain Location Prior for Nighttime Deraining ICCV 2023 Learning Representations without Compositional Assumptions ICML 2023 Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution NeurIPS 2023 Learning Retrieval Augmentation for Personalized Dialogue Generation EMNLP 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023 Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NeurIPS 2023 Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping NeurIPS 2023 Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval AAAI 2023 Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement AAAI 2023 Learning Semantic Relationship Among Instances for Image-Text Matching CVPR 2023 Learning Semantic Role Labeling from Compatible Label Sequences EMNLP 2023 Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping ICML 2023 Learning Single Image Defocus Deblurring with Misaligned Training Pairs AAAI 2023 Learning Situation Hyper-Graphs for Video Question Answering CVPR 2023