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conftrace_

downstream task

207 papers

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representation learning (50) transfer learning (41) self-supervised learning (27) large language model (19) language model (15) pre-trained language model (13) contrastive learning (13) pre-trained model (10) knowledge distillation (8) data augmentation (7)

Papers

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 On Affine Homotopy between Language Encoders NeurIPS 2024 On the Comparison between Multi-modal and Single-modal Contrastive Learning NeurIPS 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning AAAI 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 Split-and-Denoise: Protect large language model inference with local differential privacy ICML 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 Task-oriented Time Series Imputation Evaluation via Generalized Representers NeurIPS 2024 Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024 TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024 Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024 Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NeurIPS 2024 What Sketch Explainability Really Means for Downstream Tasks? CVPR 2024 When does perceptual alignment benefit vision representations? NeurIPS 2024 When is an Embedding Model More Promising than Another? NeurIPS 2024 XferBench: a Data-Driven Benchmark for Emergent Language NAACL 2024 Amortised Invariance Learning for Contrastive Self-Supervision ICLR 2023 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023 Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings ACML 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks CVPR 2023 Blessing of Class Diversity in Pre-training AISTATS 2023