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)

DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023 Does Continual Learning Equally Forget All Parameters? ICML 2023 Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NeurIPS 2023 Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? ICLR 2023 Does progress on ImageNet transfer to real-world datasets? NeurIPS 2023 Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023 Domain Adaptation for Sentiment Analysis Using Robust Internal Representations EMNLP 2023 Domain Adaptation for Speech Enhancement in a Large Domain Gap Interspeech 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Domain Adaptive Imitation Learning with Visual Observation NeurIPS 2023 Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization ACL 2023 Domain Expansion of Image Generators CVPR 2023 Domain-General Crowd Counting in Unseen Scenarios AAAI 2023 Domain Generalised Faster R-CNN AAAI 2023 Domain Generalization via Heckman-type Selection Models ICLR 2023 Domain Generalization via Switch Knowledge Distillation for Robust Review Representation ACL 2023 Domain Generalized Stereo Matching via Hierarchical Visual Transformation CVPR 2023 Domain Incremental Lifelong Learning in an Open World ACL 2023 Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords ACL 2023 Don’t Add, don’t Miss: Effective Content Preserving Generation from Pre-Selected Text Spans EMNLP 2023 Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation AAAI 2023 Don’t fear the unlabelled: safe semi-supervised learning via debiasing ICLR 2023 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 Don’t Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters Interspeech 2023 Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval AAAI 2023