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)

A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation NeurIPS 2024 A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024 A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression EMNLP 2024 A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models ICML 2024 A Simple LLM Framework for Long-Range Video Question-Answering EMNLP 2024 A Simple yet Universal Framework for Depth Completion NeurIPS 2024 As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors CVPR 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NeurIPS 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families NeurIPS 2024 AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NeurIPS 2024 A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations EMNLP 2024 ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models EMNLP 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024 Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion CVPR 2024 Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication NeurIPS 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories ICML 2024 Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation AAAI 2024 Attack-Resilient Image Watermarking Using Stable Diffusion NeurIPS 2024 Attention Calibration for Disentangled Text-to-Image Personalization CVPR 2024