conftrace_

Models

20,488 papers (23 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Generative Models (8,597) Diffusion Models (6,478) Large Language Models (2,815) Variational Inference (2,186) Vision-Language Models (839) Language Models (763) Foundation Models (330) Language Modeling (92) Variational Autoencoders (67) Neural Radiance Fields (46) Sequence-to-Sequence (42) Variational Autoencoder (24)

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Papers (including subtopics)

FLAME: Free-Form Language-Based Motion Synthesis & Editing AAAI 2023 Flat Seeking Bayesian Neural Networks NeurIPS 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy CVPR 2023 FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views CVPR 2023 Flow Annealed Importance Sampling Bootstrap ICLR 2023 Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions AAAI 2023 FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow NeurIPS 2023 FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping AAAI 2023 Flow Factorized Representation Learning NeurIPS 2023 FlowGrad: Controlling the Output of Generative ODEs With Gradients CVPR 2023 Flow Matching for Generative Modeling ICLR 2023 Flow Matching for Scalable Simulation-Based Inference NeurIPS 2023 Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow ICLR 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion Interspeech 2023 FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models ACL 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models ICCV 2023 Formulating Discrete Probability Flow Through Optimal Transport NeurIPS 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions ICLR 2023 Foundation Model for Material Science AAAI 2023 Foundation Model is Efficient Multimodal Multitask Model Selector NeurIPS 2023