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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87
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
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12,524
14,487
6,029
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Papers (including subtopics)
Inferring stochastic low-rank recurrent neural networks from neural data
NeurIPS 2024
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
ACL 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
Infinite-Dimensional Diffusion Models
JMLR 2024
Infinite-Dimensional Feature Interaction
NeurIPS 2024
Infinite Limits of Multi-head Transformer Dynamics
NeurIPS 2024
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
NeurIPS 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
CVPR 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
IJCAI 2024
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
ICML 2024
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
ICLR 2024
Information Bottleneck Based Data Correction in Continual Learning
ECCV 2024
Information Flow in Self-Supervised Learning
ICML 2024
Information Flow Routes: Automatically Interpreting Language Models at Scale
EMNLP 2024
Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models
EMNLP 2024
InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset
WACV 2024
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
EMNLP 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NeurIPS 2024
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
NeurIPS 2024
In-Hand 3D Object Reconstruction from a Monocular RGB Video
AAAI 2024
Inherently Interpretable Time Series Classification via Multiple Instance Learning
ICLR 2024
Initial Guessing Bias: How Untrained Networks Favor Some Classes
ICML 2024
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing
NeurIPS 2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
EMNLP 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024