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)

Audio-Visual Praise Estimation for Conversational Video based on Synchronization-Guided Multimodal Transformer Interspeech 2023 Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In ACL 2023 Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NeurIPS 2023 Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling ACL 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health ACL 2023 Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories EMNLP 2023 A Unified Generative Approach to Product Attribute-Value Identification ACL 2023 A Unified One-Step Solution for Aspect Sentiment Quad Prediction ACL 2023 A Unified Pyramid Recurrent Network for Video Frame Interpolation CVPR 2023 A Unified Recognition and Correction Model under Noisy and Accent Speech Conditions Interspeech 2023 AutoAD: Movie Description in Context CVPR 2023 Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics AAAI 2023 AutoGT: Automated Graph Transformer Architecture Search ICLR 2023 Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models EMNLP 2023 AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation CVPR 2023 Automated Orthodontic Diagnosis from a Summary of Medical Findings ACL 2023 Automatic Chain of Thought Prompting in Large Language Models ICLR 2023 Automatic Deep Neural Network-Based Segmental Pronunciation Error Detection of L2 English Speech (L1 Bengali) Interspeech 2023 Automatic Evaluation and Analysis of Idioms in Neural Machine Translation EACL 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023 Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023 Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis Interspeech 2023 Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis EMNLP 2023