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)

BBQ: A hand-built bias benchmark for question answering ACL 2022 BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 BeautifAI - Personalised Occasion-based Makeup Recommendation ACML 2022 Behavior Transformers: Cloning k modes with one stone NeurIPS 2022 Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks AAAI 2022 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport CVPR 2022 bert2BERT: Towards Reusable Pretrained Language Models ACL 2022 BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster ACL 2022 BERT Learns to Teach: Knowledge Distillation with Meta Learning ACL 2022 Better Few-Shot Relation Extraction with Label Prompt Dropout EMNLP 2022 Better Language Model with Hypernym Class Prediction ACL 2022 Better Uncertainty Calibration via Proper Scores for Classification and Beyond NeurIPS 2022 BEVT: BERT Pretraining of Video Transformers CVPR 2022 Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions EMNLP 2022 Beyond Cross-View Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image CVPR 2022 Beyond Fixation: Dynamic Window Visual Transformer CVPR 2022 Beyond Goldfish Memory: Long-Term Open-Domain Conversation ACL 2022 Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network IJCAI 2022 Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels AAAI 2022 Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations EMNLP 2022 Beyond neural scaling laws: beating power law scaling via data pruning NeurIPS 2022 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer NeurIPS 2022 Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations EMNLP 2022