Novel Concepts

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Most implemented papers archive 2025-07-28

30 shown of 65 papers with code (158 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PaLM: Scaling Language Modeling with Pathways
  5 Apr 2022 7 repositories listed Syntology ran 30 of 37 samples · 7 unverified
  To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM.
• Dynamic Few-Shot Visual Learning without Forgetting
  25 Apr 2018 4 repositories listed Syntology ran 2 of 13 samples · 11 unverified
  In this context, the goal of our work is to devise a few-shot visual learning system that during test time it will be able to efficiently learn novel categories from only a few training data while at the same time it…
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Is CLIP the main roadblock for fine-grained open-world perception?
  4 Apr 2024 2 repositories listed Syntology ran 15 of 17 samples · 2 unverified · 17 pointer-only (licence)
  Modern applications increasingly demand flexible computer vision models that adapt to novel concepts not encountered during training.
• SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints
  5 Dec 2023 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Furthermore, the boundary loss capitalizes on the distinctive features of SGB by directing the model's attention to the boundary information of the object.
• DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination
  27 Nov 2023 2 repositories listed
  To bridge this gap, we introduce a novel task, Virtual Creatures Generation: Given a set of unlabeled images of the target concepts (e.
• CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
  23 Nov 2022 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  Our experiments show that we outperform the current SOTA method DualPrompt on established benchmarks by as much as 4.
• Training Compute-Optimal Large Language Models
  29 Mar 2022 2 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 4 pointer-only (licence)
  We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget.
• DER: Dynamically Expandable Representation for Class Incremental Learning
  31 Mar 2021 2 repositories listed Syntology ran 6 of 11 samples · 5 unverified
  We address the problem of class incremental learning, which is a core step towards achieving adaptive vision intelligence.
• Revisit Systematic Generalization via Meaningful Learning
  14 Mar 2020 2 repositories listed
  Humans can systematically generalize to novel compositions of existing concepts.
• AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic Segmentation
  23 Dec 2024 1 repository listed
  Therefore, in this paper, we utilize the more challenging image-level annotations and propose an adaptive frequency-aware network (AFANet) for weakly-supervised few-shot semantic segmentation (WFSS).
• PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium
  20 Dec 2024 1 repository listed
  Personalized image generation has made significant strides in adapting content to novel concepts.
• NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
  20 Dec 2024 1 repository listed
  Compositional generalization is crucial for artificial intelligence agents to solve complex vision-language reasoning tasks.
• Grounding Descriptions in Images informs Zero-Shot Visual Recognition
  5 Dec 2024 1 repository listed
  In this paper, we propose GRAIN, a new pretraining strategy aimed at aligning representations at both fine and coarse levels simultaneously.
• SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
  4 Nov 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  Additionally, freezing the parameters in incremental sessions hinders models' plasticity to novel concepts not covered in the first session.
• Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
  9 Oct 2024 1 repository listed Syntology ran 9 of 16 samples · 7 unverified
  We delve into the conflicts and identify that models are susceptible to prediction bias and hardness bias.
• Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?
  25 Sep 2024 1 repository listed
  Large vision-language models (VLMs) have become state-of-the-art for many computer vision tasks, with in-context learning (ICL) as a popular adaptation strategy for new ones.
• Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
  17 Aug 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Results demonstrate the advantages of the LAE-1M dataset and the effectiveness of the LAE-DINO method.
• Attention Calibration for Disentangled Text-to-Image Personalization
  27 Mar 2024 1 repository listed Syntology ran 4 of 8 samples · 4 unverified
  However, an intriguing problem persists: Is it possible to capture multiple, novel concepts from one single reference image?
• A Language Model's Guide Through Latent Space
  22 Feb 2024 1 repository listed Syntology ran 11 of 11 samples · 0 unverified
  Concept guidance has emerged as a cheap and simple way to control the behavior of language models by probing their hidden representations for concept vectors and using them to perturb activations at inference time.
• BOWLL: A Deceptively Simple Open World Lifelong Learner
  7 Feb 2024 1 repository listed
  The quest to improve scalar performance numbers on predetermined benchmarks seems to be deeply engraved in deep learning.
• Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory
  1 Jan 2024 1 repository listed
  Furthermore a novel memory pruning approach is proposed to automatically remove overlapping memory clusters through a graph relation evaluation ensuring a fixed memory capacity while maintaining the diversity among the…
• Language-Informed Visual Concept Learning
  6 Dec 2023 1 repository listed Syntology ran 11 of 13 samples · 2 unverified · 13 pointer-only (licence)
  To encourage better disentanglement of different concept encoders, we anchor the concept embeddings to a set of text embeddings obtained from a pre-trained Visual Question Answering (VQA) model.
• Towards Open-Ended Visual Recognition with Large Language Model
  14 Nov 2023 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  Localizing and recognizing objects in the open-ended physical world poses a long-standing challenge within the domain of machine perception.
• A Robust, Efficient Predictive Safety Filter
  14 Nov 2023 1 repository listed
  In this paper, we propose a novel predictive safety filter that is robust to bounded perturbations and is implemented in an even-triggered fashion to reduce online computation.
• OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
  22 Oct 2023 1 repository listed
  While current foundational models excel at various visual language tasks, there's a noticeable absence of models specifically tailored for open-vocabulary visual grounding.
• Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
  23 Aug 2023 1 repository listed Syntology ran 7 of 8 samples · 1 unverified · 8 pointer-only (licence)
  The GRW loss augments the training by continually encouraging the model to generate realistic and characterized samples to represent the unseen space.
• Link-Context Learning for Multimodal LLMs
  15 Aug 2023 1 repository listed
  The ability to learn from context with novel concepts, and deliver appropriate responses are essential in human conversations.
• L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space
  31 Jul 2023 1 repository listed
  To address the problem, we propose a distillation strategy named L3DMC that operates on mixed-curvature spaces to preserve the already-learned knowledge by modeling and maintaining complex geometrical structures.
• Subspace Distillation for Continual Learning
  31 Jul 2023 1 repository listed
  To mitigate forgetting prior knowledge, we propose a novel knowledge distillation technique that takes into the account the manifold structure of the latent/output space of a neural network in learning novel tasks.

Syntology lines on 15 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.