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)

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022 SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models ACL 2022 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Simple and Effective Zero-shot Cross-lingual Phoneme Recognition Interspeech 2022 Simple but Effective: CLIP Embeddings for Embodied AI CVPR 2022 Simple Multi-Dataset Detection CVPR 2022 Simple Questions Generate Named Entity Recognition Datasets EMNLP 2022 Simple Unsupervised Graph Representation Learning AAAI 2022 Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos NeurIPS 2022 Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games ICML 2022 SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering EMNLP 2022 SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning AAAI 2022 Simultaneous Neural Machine Translation with Prefix Alignment ACL 2022 SimVLM: Simple Visual Language Model Pretraining with Weak Supervision ICLR 2022 SimVP: Simpler Yet Better Video Prediction CVPR 2022 SimVQA: Exploring Simulated Environments for Visual Question Answering CVPR 2022 Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation CVPR 2022 Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation ACL 2022 Single Model Uncertainty Estimation via Stochastic Data Centering NeurIPS 2022 Single-Shot Path Integrated Panoptic Segmentation WACV 2022 Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning NeurIPS 2022 SIREN: Shaping Representations for Detecting Out-of-Distribution Objects NeurIPS 2022 SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models EMNLP 2022 Situated Dialogue Learning through Procedural Environment Generation ACL 2022 SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification AAAI 2022