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)

Image Sculpting: Precise Object Editing with 3D Geometry Control CVPR 2024 Images that Sound: Composing Images and Sounds on a Single Canvas NeurIPS 2024 Image Translation as Diffusion Visual Programmers ICLR 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NeurIPS 2024 IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies CoRL 2024 IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation NeurIPS 2024 I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions CVPR 2024 Imitation Learning from Purified Demonstrations ICML 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NeurIPS 2024 Impact of Decoding Methods on Human Alignment of Conversational LLMs ACL 2024 Implicit Grasp Diffusion: Bridging the Gap between Dense Prediction and Sampling-based Grasping CoRL 2024 Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NeurIPS 2024 Implicit Motion Function CVPR 2024 Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning ICLR 2024 Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes NeurIPS 2024 Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024 IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation CVPR 2024 Improved Distribution Matching Distillation for Fast Image Synthesis NeurIPS 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 Improved Sample Complexity Bounds for Diffusion Model Training NeurIPS 2024 Improved sampling via learned diffusions ICLR 2024 Improved Techniques for Training Consistency Models ICLR 2024 Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions CVPR 2024 Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024