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Deep Learning

78,198 papers (26 classified directly here)

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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