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Found 10 papers, 4 papers with code
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
Then, we validate the intra-class collapse effects in coarse-to-fine transfer learning and the inter-class collapse effects in imbalanced learning on long-tailed datasets.
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
Symmetries of input and latent vectors have provided valuable insights for disentanglement learning in VAEs. However, only a few works were proposed as an unsupervised method, and even these works require known factor information in training data.
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
In replay-based methods for continual learning, replaying input samples in episodic memory has shown its effectiveness in alleviating catastrophic forgetting.
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
In this paper, we address problems of applying adversarial training to CICL, which is well-known defense method against adversarial attack.
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
To resolve it in transferring, we investigate distillation of structures of representations specified to three types: intra-feature, local inter-feature, global inter-feature structures.
Impact of representation matching with neural machine translation
Most neural machine translation models are implemented as a conditional language model framework composed of encoder and decoder models.
Learning from Matured Dumb Teacher for Fine Generalization
The flexibility of decision boundaries in neural networks that are unguided by training data is a well-known problem typically resolved with generalization methods.
What and When to Look?: Temporal Span Proposal Network for Video Relation Detection
TSPN tells when to look: it simultaneously predicts start-end timestamps (i. e., temporal spans) and categories of the all possible relations by utilizing full video context.
Ranked #2 on
Video Visual Relation Detection
on ImageNet-VidVRD
Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions
To quantify how much LOGIN is aware of relational direction, a new diagnostic task called Bidirectional Relationship Classification (BRC) is also proposed.
Ranked #1 on
Scene Graph Classification
on Visual Genome
(Recall@20 metric)
Bidirectional Relationship Classification
Graph Generation
+4
Concept Equalization to Guide Correct Training of Neural Machine Translation
Neural machine translation decoders are usually conditional language models to sequentially generate words for target sentences.
