Models

Training Normalizing Flows from Dependent Data ICML 2023 TRAK: Attributing Model Behavior at Scale ICML 2023 TRAMS: Training-free Memory Selection for Long-range Language Modeling EMNLP 2023 Transcending Scaling Laws with 0.1% Extra Compute EMNLP 2023 Trans-Dimensional Generative Modeling via Jump Diffusion Models NeurIPS 2023 Transformer Language Models Handle Word Frequency in Prediction Head ACL 2023 Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End AACL 2023 Translating a low-resource language using GPT-3 and a human-readable dictionary ACL 2023 Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution EMNLP 2023 Tree-Based Representation and Generation of Natural and Mathematical Language ACL 2023 Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images NeurIPS 2023 Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models EACL 2023 TriVol: Point Cloud Rendering via Triple Volumes CVPR 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023 TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models EMNLP 2023 Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders ICLR 2023 TryOnDiffusion: A Tale of Two UNets CVPR 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 TTTFlow: Unsupervised Test-Time Training With Normalizing Flow WACV 2023 Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation ICCV 2023 Turning a CLIP Model Into a Scene Text Detector CVPR 2023 TypeT5: Seq2seq Type Inference using Static Analysis ICLR 2023 UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023 UDE: A Unified Driving Engine for Human Motion Generation CVPR 2023 UGC: Unified GAN Compression for Efficient Image-to-Image Translation ICCV 2023