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)

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings ACL 2018 Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation NAACL 2018 In-domain Context-aware Token Embeddings Improve Biomedical Named Entity Recognition EMNLP 2018 Inductive Two-Layer Modeling with Parametric Bregman Transfer ICML 2018 InferLite: Simple Universal Sentence Representations from Natural Language Inference Data EMNLP 2018 Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis CVPR 2018 Information Encoding by Deep Neural Networks: What Can We Learn? Interspeech 2018 Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation ACL 2018 Integrating Recurrence Dynamics for Speech Emotion Recognition Interspeech 2018 Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation Interspeech 2018 Interactions between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals Interspeech 2018 Interactive Grounded Language Acquisition and Generalization in a 2D World ICLR 2018 Interpretable Convolutional Neural Networks CVPR 2018 Interpretable Word Embedding Contextualization EMNLP 2018 Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models EMNLP 2018 InverseFaceNet: Deep Monocular Inverse Face Rendering CVPR 2018 Investigating Audio, Video, and Text Fusion Methods for End-to-End Automatic Personality Prediction ACL 2018 Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models EMNLP 2018 Is Generator Conditioning Causally Related to GAN Performance? ICML 2018 Iterative Back-Translation for Neural Machine Translation ACL 2018 Iterative Learning With Open-Set Noisy Labels CVPR 2018 Iterative Value-Aware Model Learning NeurIPS 2018 IVQA: Inverse Visual Question Answering CVPR 2018 Japanese Predicate Conjugation for Neural Machine Translation NAACL 2018 JeSemE: Interleaving Semantics and Emotions in a Web Service for the Exploration of Language Change Phenomena COLING 2018