Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
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87
90
125
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
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Papers (including subtopics)
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions
CVPR 2024
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation
EMNLP 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
ICML 2024
Improving Adaptivity via Over-Parameterization in Sequence Models
NeurIPS 2024
Improving Adversarial Energy-Based Model via Diffusion Process
ICML 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
NeurIPS 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
IJCAI 2024
Improving Alignment and Robustness with Circuit Breakers
NeurIPS 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models
EMNLP 2024
Improving Attributed Text Generation of Large Language Models via Preference Learning
ACL 2024
Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study Using Model Self-Distillation
Interspeech 2024
Improving Audio-Visual Segmentation with Bidirectional Generation
AAAI 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
Improving Copy-oriented Text Generation via EDU Copy Mechanism
COLING 2024
Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation
COLING 2024
Improving Depth Completion via Depth Feature Upsampling
CVPR 2024
Improving Dialog Safety using Socially Aware Contrastive Learning
EACL 2024
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
AAAI 2024
Improving Diffusion Models for Authentic Virtual Try-on in the Wild
ECCV 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
ICML 2024
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning
EMNLP 2024
Improving Distinguishability of Class for Graph Neural Networks
AAAI 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
Interspeech 2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
ICML 2024