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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5
1
2
47
50
53
51
87
90
125
229
234
453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
'5
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Papers (including subtopics)
Magnushammer: A Transformer-Based Approach to Premise Selection
ICLR 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
NeurIPS 2024
MaIL: Improving Imitation Learning with Selective State Space Models
CoRL 2024
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
EMNLP 2024
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion
NeurIPS 2024
Make-A-Shape: a Ten-Million-scale 3D Shape Model
ICML 2024
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners
ACL 2024
Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis
EMNLP 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
Make Lossy Compression Meaningful for Low-Light Images
AAAI 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
CVPR 2024
Make Pixels Dance: High-Dynamic Video Generation
CVPR 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
COLING 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
AAAI 2024
Make RepVGG Greater Again: A Quantization-Aware Approach
AAAI 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
EMNLP 2024
Makeup Prior Models for 3D Facial Makeup Estimation and Applications
CVPR 2024
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation
ECCV 2024
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework
CVPR 2024
Making AI Policies Transparent to Humans through Demonstrations
AAAI 2024
Making Harmful Behaviors Unlearnable for Large Language Models
ACL 2024
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
EMNLP 2024
Making Pre-trained Language Models Great on Tabular Prediction
ICLR 2024
Making Vision Transformers Truly Shift-Equivariant
CVPR 2024