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

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Papers (including subtopics)

A Hybrid Learning Scheme for Chinese Word Embedding ACL 2018 AirDialogue: An Environment for Goal-Oriented Dialogue Research EMNLP 2018 A Knowledge-Grounded Multimodal Search-Based Conversational Agent EMNLP 2018 Algorithms and Theory for Multiple-Source Adaptation NeurIPS 2018 Algorithms or Actions? A Study in Large-Scale Reinforcement Learning IJCAI 2018 Alibaba Speech Translation Systems for IWSLT 2018 EMNLP 2018 Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018 All-but-the-Top: Simple and Effective Postprocessing for Word Representations ICLR 2018 All-Neural Multi-Channel Speech Enhancement Interspeech 2018 A loss framework for calibrated anomaly detection NeurIPS 2018 A Machine Translation Approach for Modernizing Historical Documents Using Backtranslation EMNLP 2018 Amobee at IEST 2018: Transfer Learning from Language Models EMNLP 2018 Amortized Inference Regularization NeurIPS 2018 A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling ACL 2018 A Multi-task Approach to Learning Multilingual Representations ACL 2018 Analogical Reasoning on Chinese Morphological and Semantic Relations ACL 2018 Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018 Analyzing Knowledge Distillation in Neural Machine Translation EMNLP 2018 Analyzing Learned Representations of a Deep ASR Performance Prediction Model EMNLP 2018 A Named Entity Recognition Shootout for German ACL 2018 An Analysis of Scale Invariance in Object Detection SNIP CVPR 2018 Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation CVPR 2018 An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition Interspeech 2018 An Empirical Study of Building a Strong Baseline for Constituency Parsing ACL 2018 An Empirical Study of Machine Translation for the Shared Task of WMT18 EMNLP 2018