Co-occurring keywords · papers mentioning both
Papers
Symmetric Single Index Learning
ICLR 2024
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
AAAI 2024
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models
NeurIPS 2024
Tackling Missing Modalities in Audio-Visual Representation Learning Using Masked Autoencoders
Interspeech 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
AAAI 2024
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
AAAI 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
COLING 2024
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding
CVPR 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
CVPR 2024
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships
CVPR 2024
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
AAAI 2024
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster
AAAI 2024
Task-oriented Time Series Imputation Evaluation via Generalized Representers
NeurIPS 2024
Tell Me What’s Next: Textual Foresight for Generic UI Representations
ACL 2024
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
NeurIPS 2024
Testing and Adapting the Representational Abilities of Large Language Models on Folktales in Low-Resource Languages
EMNLP 2024
TexTile: A Differentiable Metric for Texture Tileability
CVPR 2024
TFWT: Tabular Feature Weighting with Transformer
IJCAI 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
ICLR 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
ICLR 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models
NAACL 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
NeurIPS 2024
The mechanistic basis of data dependence and abrupt learning in an in-context classification task
ICLR 2024
The Mystery of the Pathological Path-star Task for Language Models
EMNLP 2024