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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'25

Papers (including subtopics)

Condenser: a Pre-training Architecture for Dense Retrieval EMNLP 2021 Conditional Bures Metric for Domain Adaptation CVPR 2021 Conditional Generation of Temporally-ordered Event Sequences ACL 2021 Conditional Poisson Stochastic Beams EMNLP 2021 Conditional probing: measuring usable information beyond a baseline EMNLP 2021 Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021 Conditional Temporal Neural Processes with Covariance Loss ICML 2021 Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech ICML 2021 Confidence-aware Non-repetitive Multimodal Transformers for TextCaps AAAI 2021 Conflict-Averse Gradient Descent for Multi-task learning NeurIPS 2021 Conjugate Energy-Based Models ICML 2021 Connecting What To Say With Where To Look by Modeling Human Attention Traces CVPR 2021 ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension EMNLP 2021 Consensus Graph Representation Learning for Better Grounded Image Captioning AAAI 2021 Consistency Regularization for Cross-Lingual Fine-Tuning ACL 2021 Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation AAAI 2021 Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NeurIPS 2021 Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021 Content-Aware GAN Compression CVPR 2021 Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent AAAI 2021 Context-aware Neural Machine Translation with Mini-batch Embedding EACL 2021 Context-Aware Scene Graph Generation With Seq2Seq Transformers ICCV 2021 Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021 Contextualized Query Embeddings for Conversational Search EMNLP 2021 Contextualized Rewriting for Text Summarization AAAI 2021