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)

Contrastive Bootstrapping for Label Refinement ACL 2023 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023 Contrastive Deterministic Autoencoders For Language Modeling EMNLP 2023 Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension EMNLP 2023 Contrastive Error Attribution for Finetuned Language Models ACL 2023 Contrastive Hierarchical Discourse Graph for Scientific Document Summarization ACL 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition AAAI 2023 Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words EMNLP 2023 Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023 Contrastive Learning of Sociopragmatic Meaning in Social Media ACL 2023 Contrastive Learning Reduces Hallucination in Conversations AAAI 2023 Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding ACL 2023 Contrastive Learning with the Feature Reconstruction Amplifier AAAI 2023 Contrastive Loss is All You Need to Recover Analogies as Parallel Lines ACL 2023 Contrastive Mean Teacher for Domain Adaptive Object Detectors CVPR 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Contrastive Multi-Task Dense Prediction AAAI 2023 Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023 Contrastive Open Set Recognition AAAI 2023 Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning AAAI 2023 Contrastive Pre-training for Personalized Expert Finding EMNLP 2023 Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning AAAI 2023 Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL NeurIPS 2023 Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility AAAI 2023