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)

Online Multi-Granularity Distillation for GAN Compression ICCV 2021 Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization ICCV 2021 On Pursuit of Designing Multi-modal Transformer for Video Grounding EMNLP 2021 On Robustness and Transferability of Convolutional Neural Networks CVPR 2021 On Semantic Similarity in Video Retrieval CVPR 2021 On sensitivity of meta-learning to support data NeurIPS 2021 On the Algorithmic Stability of Adversarial Training NeurIPS 2021 On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 On the Cross-lingual Transferability of Contextualized Sense Embeddings EMNLP 2021 On the differences between BERT and MT encoder spaces and how to address them in translation tasks ACL 2021 On the Difficulty of Segmenting Words with Attention EMNLP 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021 On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR Interspeech 2021 On the (In)Effectiveness of Images for Text Classification EACL 2021 On the Influence of Masking Policies in Intermediate Pre-training EMNLP 2021 On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning EMNLP 2021 On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning L4DC 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021 On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise EMNLP 2021 On the Role of Corpus Ordering in Language Modeling EMNLP 2021 On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines ICLR 2021 On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021 OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021 OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification ACL 2021