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)

Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning EMNLP 2022 Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training Interspeech 2022 Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022 Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss Interspeech 2022 Improving Adversarially Robust Few-Shot Image Classification With Generalizable Representations CVPR 2022 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation EMNLP 2022 Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class NeurIPS 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Improving Biomedical Information Retrieval with Neural Retrievers AAAI 2022 Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation ACL 2022 Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity EMNLP 2022 Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks COLING 2022 Improving Compositional Generalization with Self-Training for Data-to-Text Generation ACL 2022 Improving Controllable Text Generation with Position-Aware Weighted Decoding ACL 2022 Improving Deep Embedded Clustering via Learning Cluster-level Representations COLING 2022 Improving Dialogue Act Recognition with Augmented Data EMNLP 2022 Improving Diffusion Models for Inverse Problems using Manifold Constraints NeurIPS 2022 Improving Discriminative Learning for Zero-Shot Relation Extraction ACL 2022 Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation Interspeech 2022 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022 Improving Event Coreference Resolution Using Document-level and Topic-level Information EMNLP 2022 Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022 Improving Factual Consistency in Summarization with Compression-Based Post-Editing EMNLP 2022