conftrace_

representation learning

6,926 papers

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Also known as

RL

Co-occurring keywords · papers mentioning both

contrastive learning (960) self-supervised learning (952) transfer learning (487) neural network (452) graph neural network (415) unsupervised learning (414) multimodal learning (327) domain adaptation (252) feature learning (216) knowledge distillation (209)

Papers

Barely Supervised Learning for Graph-Based Fraud Detection AAAI 2024 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models NAACL 2024 Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring COLING 2024 Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024 Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning NeurIPS 2024 BigGait: Learning Gait Representation You Want by Large Vision Models CVPR 2024 Binding Touch to Everything: Learning Unified Multimodal Tactile Representations CVPR 2024 Blind Image Quality Assessment Based on Geometric Order Learning CVPR 2024 BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model NeurIPS 2024 Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024 Bootstrapping Top-down Information for Self-modulating Slot Attention NeurIPS 2024 BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses COLING 2024 Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation ICLR 2024 BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ACL 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Bridging Local Details and Global Context in Text-Attributed Graphs EMNLP 2024 Bridging State and History Representations: Understanding Self-Predictive RL ICLR 2024 Bridging the Code Gap: A Joint Learning Framework across Medical Coding Systems COLING 2024 Building Knowledge-Guided Lexica to Model Cultural Variation NAACL 2024 Building Vision-Language Models on Solid Foundations with Masked Distillation CVPR 2024 Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NeurIPS 2024 Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning ICLR 2024 Can Large Language Models (or Humans) Disentangle Text? NAACL 2024 Can Transformers Smell Like Humans? NeurIPS 2024