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)

On Improving Summarization Factual Consistency from Natural Language Feedback ACL 2023 On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning ACL 2023 Online Bias Correction for Task-Free Continual Learning ICLR 2023 Online Symbolic Regression with Informative Query AAAI 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 On Monotonic Aggregation for Open-domain QA Interspeech 2023 On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023 On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline ICML 2023 On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023 On Search Strategies for Document-Level Neural Machine Translation ACL 2023 On Separate Normalization in Self-supervised Transformers NeurIPS 2023 On Surgical Fine-tuning for Language Encoders EMNLP 2023 On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023 On the Compositional Generalization in Versatile Open-domain Dialogue ACL 2023 On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023 On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss ACL 2023 On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023 On the Difference of BERT-style and CLIP-style Text Encoders ACL 2023 On the Dimensionality of Sentence Embeddings EMNLP 2023 On the Effectiveness of Curriculum Learning in Educational Text Scoring AAAI 2023 On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition Interspeech 2023 On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023 On the Generalization of Multi-modal Contrastive Learning ICML 2023