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)

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Rethinking the Two-Stage Framework for Grounded Situation Recognition AAAI 2022 Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer EMNLP 2022 Retrieval-Augmented Diffusion Models NeurIPS 2022 Retrieval-Augmented Generative Question Answering for Event Argument Extraction EMNLP 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 Retrieval Augmented Visual Question Answering with Outside Knowledge EMNLP 2022 RetroNLU: Retrieval Augmented Task-Oriented Semantic Parsing ACL 2022 REUSE: REference-free UnSupervised Quality Estimation Metric EMNLP 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022 Revealing Disocclusions in Temporal View Synthesis Through Infilling Vector Prediction WACV 2022 Reverse Differentiation via Predictive Coding AAAI 2022 Revision for Concision: A Constrained Paraphrase Generation Task EMNLP 2022 Revisiting Active Sets for Gaussian Process Decoders NeurIPS 2022 Revisiting Consistency Regularization for Deep Partial Label Learning ICML 2022 Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction EMNLP 2022 Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022 Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model Interspeech 2022 Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022 Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing EMNLP 2022 Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering NeurIPS 2022 Revisiting Sparse Convolutional Model for Visual Recognition NeurIPS 2022 Revisiting Temporal Alignment for Video Restoration CVPR 2022 Revisiting the Roles of “Text” in Text Games EMNLP 2022 Revisiting Transformer-based Models for Long Document Classification EMNLP 2022