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)

DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction AAAI 2023 Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023 Demystifying Prompts in Language Models via Perplexity Estimation EMNLP 2023 DENet: Disentangled Embedding Network for Visible Watermark Removal AAAI 2023 DE-net: Dynamic Text-Guided Image Editing Adversarial Networks AAAI 2023 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks ACML 2023 Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion ACL 2023 Denoising Diffusion Error Correction Codes ICLR 2023 Denoising Enhanced Distantly Supervised Ultrafine Entity Typing ACL 2023 Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning AAAI 2023 Dense Distinct Query for End-to-End Object Detection CVPR 2023 Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline CVPR 2023 Dense Retrieval as Indirect Supervision for Large-space Decision Making EMNLP 2023 Dense Voxel Fusion for 3D Object Detection WACV 2023 DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation ACL 2023 DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder ACL 2023 DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit EMNLP 2023 DesCo: Learning Object Recognition with Rich Language Descriptions NeurIPS 2023 Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling ICLR 2023 DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment CVPR 2023 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature ICML 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Detecting and Grounding Important Characters in Visual Stories AAAI 2023 Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better ACL 2023