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)

Language-Assisted 3D Feature Learning for Semantic Scene Understanding AAAI 2023 Language-driven Scene Synthesis using Multi-conditional Diffusion Model NeurIPS 2023 Language-Family Adapters for Low-Resource Multilingual Neural Machine Translation EACL 2023 Language-Guided Music Recommendation for Video via Prompt Analogies CVPR 2023 Language Identification Networks for Multilingual Everyday Recordings Interspeech 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification CVPR 2023 Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023 Language Modeling with Latent Situations ACL 2023 Language Model Pre-training on True Negatives AAAI 2023 Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought ICLR 2023 Language Models are Realistic Tabular Data Generators ICLR 2023 Language Models are Weak Learners NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NeurIPS 2023 Language Models Can Teach Themselves to Program Better ICLR 2023 Language Semantic Graph Guided Data-Efficient Learning NeurIPS 2023 Language-specific Boundary Learning for Improving Mandarin-English Code-switching Speech Recognition Interspeech 2023 Language-Universal Phonetic Representation in Multilingual Speech Pretraining for Low-Resource Speech Recognition Interspeech 2023 LanSER: Language-Model Supported Speech Emotion Recognition Interspeech 2023 LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery JMLR 2023 Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP 2023 Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023 Large Language Models Are Partially Primed in Pronoun Interpretation ACL 2023 Large Language Models Are Reasoning Teachers ACL 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023