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

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Papers (including subtopics)

Frugal neural reranking: evaluation on the Covid-19 literature EMNLP 2020 Frustratingly Easy Multilingual Grapheme-to-Phoneme Conversion ACL 2020 FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation CVPR 2020 Functional Regularisation for Continual Learning with Gaussian Processes ICLR 2020 Functional Regularization for Representation Learning: A Unified Theoretical Perspective NeurIPS 2020 Fusion Architectures for Word-Based Audiovisual Speech Recognition Interspeech 2020 FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition Interspeech 2020 FX-GAN: Self-Supervised GAN Learning via Feature Exchange WACV 2020 G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features CVPR 2020 G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation IJCAI 2020 G3AN: Disentangling Appearance and Motion for Video Generation CVPR 2020 Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features CVPR 2020 Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020 GAN-Based Data Generation for Speech Emotion Recognition Interspeech 2020 GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering AAAI 2020 GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples ACL 2020 GAN Compression: Efficient Architectures for Interactive Conditional GANs CVPR 2020 GAN Memory with No Forgetting NeurIPS 2020 GAZEV: GAN-Based Zero-Shot Voice Conversion Over Non-Parallel Speech Corpus Interspeech 2020 GenAug: Data Augmentation for Finetuning Text Generators EMNLP 2020 Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus ACL 2020 Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020 Generalized Representation Learning Methods for Deep Reinforcement Learning IJCAI 2020 Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020