{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/incremental-learning/papers/11","list_of":"/task/incremental-learning","task":"Incremental Learning","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":11,"pages_in_order":14,"rows_per_page":100,"rows":[1001,1100],"of":1371,"counts":{"archive_papers_tagged":1371,"with_a_code_link":542,"where_syntology_ran_a_sample":162,"not_listed_spam_title":0,"listed":1371,"listed_where_code_ran":162,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":146,"every_run_a_failure_of_syntologys_instrument":16,"listed_with_a_run_with_no_instrument_failure":146,"listed_every_run_a_failure_of_syntologys_instrument":16,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/incremental-learning","prev":"/task/incremental-learning/papers/10","next":"/task/incremental-learning/papers/12","papers":[{"url":null,"slug":"utilizing-priming-to-identify-optimal-class","title":"Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting","date":"2022-12-24","arxiv_id":"2212.12643","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-induction-of-language-models-via","title":"Efficient Induction of Language Models Via Probabilistic Concept Formation","date":"2022-12-22","arxiv_id":"2212.11937","repositories_listed":0,"syntology":null},{"url":null,"slug":"meil-nerf-memory-efficient-incremental","title":"MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields","date":"2022-12-16","arxiv_id":"2212.08328","repositories_listed":0,"syntology":null},{"url":null,"slug":"evidential-deep-learning-for-class","title":"Evidential Deep Learning for Class-Incremental Semantic Segmentation","date":"2022-12-06","arxiv_id":"2212.02863","repositories_listed":0,"syntology":null},{"url":null,"slug":"da-cil-towards-domain-adaptive-class","title":"DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection","date":"2022-12-05","arxiv_id":"2212.02057","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-image-calibration-using-knowledge","title":"Single image calibration using knowledge distillation approaches","date":"2022-12-05","arxiv_id":"2212.02379","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-incremental-learning-approach-for","title":"An Incremental Learning Approach for Sustainable Region Isolation and Integration","date":"2022-12-02","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-with-optimal-transport","title":"Continual Learning with Optimal Transport based Mixture Model","date":"2022-11-30","arxiv_id":"2211.16780","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-specific-embeddings-for-ante-hoc","title":"Task-Specific Embeddings for Ante-Hoc Explainable Text Classification","date":"2022-11-30","arxiv_id":"2212.00086","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-learn-how-to-continuously-teach","title":"Learning to Learn: How to Continuously Teach Humans and Machines","date":"2022-11-28","arxiv_id":"2211.15470","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-incremental-cardiac-image-segmentation","title":"Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening","date":"2022-11-09","arxiv_id":"2211.04862","repositories_listed":0,"syntology":null},{"url":null,"slug":"prototypical-quadruplet-for-few-shot-class","title":"Prototypical quadruplet for few-shot class incremental learning","date":"2022-11-05","arxiv_id":"2211.02947","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-condensed-frame-for-memory","title":"Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning","date":"2022-11-02","arxiv_id":"2211.00833","repositories_listed":0,"syntology":null},{"url":null,"slug":"xai-increment-a-novel-approach-leveraging","title":"Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach","date":"2022-11-02","arxiv_id":"2211.01413","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-robust-incremental-learning-over-many","title":"On Robust Incremental Learning over Many Multilingual Steps","date":"2022-10-25","arxiv_id":"2210.14307","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-plasticity-learning-for-camera","title":"Handling Label Uncertainty for Camera Incremental Person Re-Identification","date":"2022-10-17","arxiv_id":"2210.08710","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-style-continual-semantic","title":"Learning with Style: Continual Semantic Segmentation Across Tasks and Domains","date":"2022-10-13","arxiv_id":"2210.07016","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-active-passive-approach-to","title":"A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream Classification","date":"2022-10-10","arxiv_id":"2210.04949","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-memory-transformer-network-for-incremental","title":"A Memory Transformer Network for Incremental Learning","date":"2022-10-10","arxiv_id":"2210.04485","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-o-helps-for-learning-more-handling","title":"Learning \"O\" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER","date":"2022-10-10","arxiv_id":"2210.04676","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-an-evolving-class-ontology","title":"Continual Learning with Evolving Class Ontologies","date":"2022-10-10","arxiv_id":"2210.04993","repositories_listed":0,"syntology":null},{"url":null,"slug":"learnable-distribution-calibration-for-few","title":"Learnable Distribution Calibration for Few-Shot Class-Incremental Learning","date":"2022-10-01","arxiv_id":"2210.00232","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-for-class-and-domain","title":"Continual Learning for Class- and Domain-Incremental Semantic Segmentation","date":"2022-09-16","arxiv_id":"2209.08023","repositories_listed":0,"syntology":null},{"url":null,"slug":"plastil-plastic-and-stable-memory-free-class","title":"PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning","date":"2022-09-14","arxiv_id":"2209.06606","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-incremental-event-detection","title":"Few-shot Incremental Event Detection","date":"2022-09-05","arxiv_id":"2209.01979","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-continual-learning-for-graphs","title":"Reinforced Continual Learning for Graphs","date":"2022-09-04","arxiv_id":"2209.01556","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-incremental-learning-framework-for-large","title":"An Incremental Learning framework for Large-scale CTR Prediction","date":"2022-09-01","arxiv_id":"2209.00458","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-learning-in-diagonal-linear","title":"Incremental Learning in Diagonal Linear Networks","date":"2022-08-31","arxiv_id":"2208.14673","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-supervised-continual-learning-a-review","title":"Beyond Supervised Continual Learning: a Review","date":"2022-08-30","arxiv_id":"2208.14307","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-a-reasoning-and-learning-architecture","title":"Knowledge-based and Data-driven Reasoning and Learning for Ad Hoc Teamwork","date":"2022-08-24","arxiv_id":"2208.11556","repositories_listed":0,"syntology":null},{"url":null,"slug":"dlcft-deep-linear-continual-fine-tuning-for","title":"DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning","date":"2022-08-17","arxiv_id":"2208.08112","repositories_listed":0,"syntology":null},{"url":null,"slug":"memorizing-complementation-network-for-few","title":"Memorizing Complementation Network for Few-Shot Class-Incremental Learning","date":"2022-08-11","arxiv_id":"2208.05610","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-machine-reading-comprehension-via-1","title":"Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation","date":"2022-08-10","arxiv_id":"2208.05217","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-label-continual-learning-framework-to","title":"A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring","date":"2022-08-08","arxiv_id":"2208.04227","repositories_listed":0,"syntology":null},{"url":null,"slug":"conservative-generator-progressive","title":"Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis","date":"2022-07-29","arxiv_id":"2207.14491","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressive-voronoi-diagram-subdivision","title":"Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning","date":"2022-07-28","arxiv_id":"2207.14202","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-few-shot-class-incremental","title":"Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry","date":"2022-07-20","arxiv_id":"2207.09963","repositories_listed":0,"syntology":null},{"url":null,"slug":"ilasr-privacy-preserving-incremental-learning","title":"ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale","date":"2022-07-19","arxiv_id":"2207.09078","repositories_listed":0,"syntology":null},{"url":null,"slug":"e2-aen-end-to-end-incremental-learning-with","title":"E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network","date":"2022-07-14","arxiv_id":"2207.06754","repositories_listed":0,"syntology":null},{"url":null,"slug":"phishsim-aiding-phishing-website-detection","title":"PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool","date":"2022-07-13","arxiv_id":"2207.10801","repositories_listed":0,"syntology":null},{"url":null,"slug":"susceptibility-of-continual-learning-against","title":"Susceptibility of Continual Learning Against Adversarial Attacks","date":"2022-07-11","arxiv_id":"2207.05225","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-based-label-text-tuning-for-few-shot","title":"Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning","date":"2022-07-03","arxiv_id":"2207.01036","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-incremental-learning-in-the-context","title":"Few-shot incremental learning in the context of solar cell quality inspection","date":"2022-07-01","arxiv_id":"2207.00693","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-deep-hashing-for-high-dimensional","title":"Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning","date":"2022-06-29","arxiv_id":"2206.14523","repositories_listed":0,"syntology":null},{"url":null,"slug":"hebbian-continual-representation-learning","title":"Hebbian Continual Representation Learning","date":"2022-06-28","arxiv_id":"2207.04874","repositories_listed":0,"syntology":null},{"url":null,"slug":"general-univariate-estimation-of-distribution","title":"General Univariate Estimation-of-Distribution Algorithms","date":"2022-06-22","arxiv_id":"2206.11198","repositories_listed":0,"syntology":null},{"url":null,"slug":"demystifying-the-base-and-novel-performances","title":"Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning","date":"2022-06-18","arxiv_id":"2206.10596","repositories_listed":0,"syntology":null},{"url":null,"slug":"tkil-tangent-kernel-approach-for-class","title":"TKIL: Tangent Kernel Approach for Class Balanced Incremental Learning","date":"2022-06-17","arxiv_id":"2206.08492","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-continual-learning-truly-learning","title":"Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective","date":"2022-06-16","arxiv_id":"2206.08101","repositories_listed":0,"syntology":null},{"url":null,"slug":"queried-unlabeled-data-improves-and","title":"Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning","date":"2022-06-15","arxiv_id":"2206.07842","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-learning-meets-transfer-learning","title":"Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation","date":"2022-06-03","arxiv_id":"2206.01369","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-training-synthetic-cross-lingual-decoder","title":"Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-unknown-dgas-without-context","title":"Detecting Unknown DGAs without Context Information","date":"2022-05-30","arxiv_id":"2205.14940","repositories_listed":0,"syntology":null},{"url":null,"slug":"tailor-teaching-with-active-and-incremental","title":"TAILOR: Teaching with Active and Incremental Learning for Object Registration","date":"2022-05-24","arxiv_id":"2205.11692","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-task-incremental-learning","title":"Rethinking Task-Incremental Learning Baselines","date":"2022-05-23","arxiv_id":"2205.11367","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-distilled-knowledge-delegator-for","title":"Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning","date":"2022-05-23","arxiv_id":"2205.11071","repositories_listed":0,"syntology":null},{"url":null,"slug":"bypassing-logits-bias-in-online-class-1","title":"Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework","date":"2022-05-19","arxiv_id":"2205.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-learning-with-differentiable","title":"Incremental Learning with Differentiable Architecture and Forgetting Search","date":"2022-05-19","arxiv_id":"2205.09875","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-learning-of-interpretable","title":"Efficient Learning of Interpretable Classification Rules","date":"2022-05-14","arxiv_id":"2205.06936","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-class-incremental-learning-for-named","title":"Few-Shot Class-Incremental Learning for Named Entity Recognition","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-intent-detection-for-medical","title":"Incremental Intent Detection for Medical Domain with Contrast Replay Networks","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-with-bayesian-model-based","title":"Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor","date":"2022-04-28","arxiv_id":"2204.13349","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-feature-generalizability-with","title":"Improving Feature Generalizability with Multitask Learning in Class Incremental Learning","date":"2022-04-26","arxiv_id":"2204.12915","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-open-set-object-detection-and","title":"Towards Open-Set Object Detection and Discovery","date":"2022-04-12","arxiv_id":"2204.05604","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-optimal-trajectory-design-and","title":"Energy-Sensitive Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration","date":"2022-04-10","arxiv_id":"2204.04666","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-tracking-of-team-sport-players-with","title":"Efficient tracking of team sport players with few game-specific annotations","date":"2022-04-08","arxiv_id":"2204.04049","repositories_listed":0,"syntology":null},{"url":null,"slug":"general-incremental-learning-with-domain-1","title":"General Incremental Learning with Domain-aware Categorical Representations","date":"2022-04-08","arxiv_id":"2204.04078","repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-prototype-prompt-tuning-with-pre","title":"Incremental Prototype Tuning for Class Incremental Learning","date":"2022-04-07","arxiv_id":"2204.03410","repositories_listed":0,"syntology":null},{"url":"/paper/revisiting-a-knn-based-image-classification","slug":"revisiting-a-knn-based-image-classification","title":"Revisiting a kNN-based Image Classification System with High-capacity Storage","date":"2022-04-03","arxiv_id":"2204.01186","repositories_listed":0,"syntology":null},{"url":null,"slug":"concept-drift-adaptation-for-ctr-prediction","title":"On the Adaptation to Concept Drift for CTR Prediction","date":"2022-04-01","arxiv_id":"2204.05101","repositories_listed":0,"syntology":null},{"url":null,"slug":"doodle-it-yourself-class-incremental-learning","title":"Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches","date":"2022-03-28","arxiv_id":"2203.14843","repositories_listed":0,"syntology":null},{"url":"/paper/class-incremental-learning-for-action-1","slug":"class-incremental-learning-for-action-1","title":"Class-Incremental Learning for Action Recognition in Videos","date":"2022-03-25","arxiv_id":"2203.13611","repositories_listed":0,"syntology":{"n":11,"n_ran":6,"n_constructed":0,"n_ran_checked":4,"n_instrument":2,"n_unverified":5,"n_honours":1,"n_violates":0,"n_no_contract":3,"n_pointer_only":2,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/class-incremental-learning-for-action-1#ran","syntology_url":"https://syntology.ai/paper/2203.13611","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.13611"}},"official":null}},{"url":null,"slug":"tackling-online-one-class-incremental","title":"Tackling Online One-Class Incremental Learning by Removing Negative Contrasts","date":"2022-03-24","arxiv_id":"2203.13307","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-closer-look-at-knowledge-distillation-with","title":"A Closer Look at Knowledge Distillation with Features, Logits, and Gradients","date":"2022-03-18","arxiv_id":"2203.10163","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-learning-paradigm-for-stochastic","title":"A New Learning Paradigm for Stochastic Configuration Network: SCN+","date":"2022-03-11","arxiv_id":"2203.07068","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-class-incremental-learning-from","title":"Deep Class Incremental Learning from Decentralized Data","date":"2022-03-11","arxiv_id":"2203.05984","repositories_listed":0,"syntology":null},{"url":null,"slug":"lifelong-adaptive-machine-learning-for-sensor","title":"Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks","date":"2022-03-11","arxiv_id":"2203.05692","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-and-classification-of-low","title":"Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver","date":"2022-03-07","arxiv_id":"2203.03636","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-template-selection-through-change","title":"Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking","date":"2022-03-07","arxiv_id":"2203.03181","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-incrementally-to-segment-multiple","title":"Learning Incrementally to Segment Multiple Organs in a CT Image","date":"2022-03-04","arxiv_id":"2203.02100","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-embodied-symbolic-concept","title":"Dual Embodied-Symbolic Concept Representations for Deep Learning","date":"2022-03-01","arxiv_id":"2203.00600","repositories_listed":0,"syntology":null},{"url":null,"slug":"hcil-hierarchical-class-incremental-learning","title":"HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring","date":"2022-02-25","arxiv_id":"2202.13018","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-teacher-knowledge-distillation-for","title":"Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification","date":"2022-02-23","arxiv_id":"2202.11384","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagnosing-batch-normalization-in-class","title":"Diagnosing Batch Normalization in Class Incremental Learning","date":"2022-02-16","arxiv_id":"2202.08025","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-aggregating-and-accelerating","title":"Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection","date":"2022-02-14","arxiv_id":"2202.06580","repositories_listed":0,"syntology":null},{"url":null,"slug":"false-memory-formation-in-continual-learners","title":"False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger","date":"2022-02-09","arxiv_id":"2202.04479","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-paced-imbalance-rectification-for-class","title":"Self-Paced Imbalance Rectification for Class Incremental Learning","date":"2022-02-08","arxiv_id":"2202.03703","repositories_listed":0,"syntology":null},{"url":null,"slug":"exemplar-based-contrastive-self-supervised","title":"Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning","date":"2022-02-05","arxiv_id":"2202.02601","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-of-calibration-methods","title":"A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning","date":"2022-02-01","arxiv_id":"2202.00386","repositories_listed":0,"syntology":null},{"url":null,"slug":"vclimb-a-novel-video-class-incremental","title":"vCLIMB: A Novel Video Class Incremental Learning Benchmark","date":"2022-01-23","arxiv_id":"2201.09381","repositories_listed":0,"syntology":null},{"url":null,"slug":"enabling-deep-learning-on-edge-devices","title":"Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer","date":"2022-01-22","arxiv_id":"2201.10947","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-cobweb-a-model-of-incremental","title":"Convolutional Cobweb: A Model of Incremental Learning from 2D Images","date":"2022-01-18","arxiv_id":"2201.06740","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-formulation-matters-when-learning","title":"Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-incremental-learning-approach-to","title":"An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs","date":"2022-01-07","arxiv_id":"2201.02574","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-online-incremental-learning-for","title":"Adaptive Online Incremental Learning for Evolving Data Streams","date":"2022-01-05","arxiv_id":"2201.01633","repositories_listed":0,"syntology":null},{"url":null,"slug":"sound-and-visual-representation-learning-with","title":"Sound and Visual Representation Learning with Multiple Pretraining Tasks","date":"2022-01-04","arxiv_id":"2201.01046","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmented-geometric-distillation-for-data","title":"Augmented Geometric Distillation for Data-Free Incremental Person ReID","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bring-evanescent-representations-to-life-in","title":"Bring Evanescent Representations to Life in Lifelong Class Incremental Learning","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-incremental-learning-for-label-to","title":"Few-Shot Incremental Learning for Label-to-Image Translation","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"metafscil-a-meta-learning-approach-for-few","title":"MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"4888c1bf9e244cf78254940c729cc6e9d9ae06161ecda77c1b1840eff613eb7e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}