pre-trained model

Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks ICLR 2022 On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? EMNLP 2022 On the Use of Bert for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation NAACL 2022 OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages ACL 2022 Optimizing Video Prediction via Video Frame Interpolation CVPR 2022 P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting NeurIPS 2022 PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit NAACL 2022 Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022 Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models ACL 2022 PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation AACL 2022 Playing Lottery Tickets with Vision and Language AAAI 2022 Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training EMNLP 2022 PluGeN: Multi-Label Conditional Generation from Pre-trained Models AAAI 2022 Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model CVPR 2022 Pre-trained Adversarial Perturbations NeurIPS 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NeurIPS 2022 Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning NeurIPS 2022 Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ACL 2022 PRHLT’s Submission to WLAC 2022 EMNLP 2022 Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives CVPR 2022 Probing Pretrained Models of Source Codes EMNLP 2022 Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning ACL 2022 R2D2 at SemEval-2022 Task 5: Attention is only as good as its Values! A multimodal system for identifying misogynist memes SemEval 2022 Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022 Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition EMNLP 2022