conftrace_
← Keywords

representation learning

6206 papers

Explore in graph

Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Contextrast: Contextual Contrastive Learning for Semantic Segmentation CVPR 2024
Learning predictable and robust neural representations by straightening image sequences NIPS 2024
Exploring Molecular Pretraining Model at Scale NIPS 2024
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation CVPR 2024
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data IJCAI 2024
LLMs are Good Action Recognizers CVPR 2024
LoFiT: Localized Fine-tuning on LLM Representations NIPS 2024
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding IJCAI 2024
Attention Shifting to Pursue Optimal Representation for Adapting Multi-granularity Tasks IJCAI 2024
Unveiling Encoder-Free Vision-Language Models NIPS 2024
RulE: Knowledge Graph Reasoning with Rule Embedding ACL 2024
Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024
From Coarse to Fine-Grained Open-Set Recognition CVPR 2024
Back to the Continuous Attractor NIPS 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion CVPR 2024
Self-Supervised Facial Representation Learning with Facial Region Awareness CVPR 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess NIPS 2024
Discovering plasticity rules that organize and maintain neural circuits NIPS 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024
Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024
Sequential Modeling Enables Scalable Learning for Large Vision Models CVPR 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift NIPS 2024